使用 DICOMweb 标准

本页面介绍了如何使用 Cloud Healthcare API 的 DICOMweb 实现。如需详细了解 Cloud Healthcare API 如何实现各种 DICOMweb REST 服务,请参阅 DICOM 一致性声明

Cloud Healthcare API 中的 DICOMweb 实现仅支持 REST,不支持 RPC。

Cloud Healthcare API DICOMweb CLI

本页面上的一些示例使用 Cloud Healthcare API DICOMweb CLI,这是一个开源工具,简化了与 DICOMweb 服务器互动。该工具提供了用于存储、检索、删除和搜索 DICOM 文件的功能。该工具的 GitHub 页面包含其他信息,例如详细的安装要求以及自定义工具的方法。

该工具使用 Python 运行。如需了解如何在 Google Cloud 上设置 Python,请参阅设置 Python 开发环境

设置 Python 后,您可以使用 Pip 安装该工具:

pip install https://github.com/GoogleCloudPlatform/healthcare-api-dicomweb-cli/archive/v1.0.zip

要使用该工具,您必须向 Google Cloud 服务器进行身份验证。您可以使用以下任一方法:

配置任一选项后,该工具会自动检测您的凭据。

存储 DICOM 数据

存储 DICOM 数据之前,您需要创建 DICOM 存储区

Cloud Healthcare API 在存储 DICOM 数据时实现了存储事务 RESTful Web 服务。如需了解详情,请参阅 Cloud Healthcare API DICOM 一致性声明中的存储事务

有两种方法用于存储 DICOM 数据:

  • 存储 DICOM 实例(通常是一个 .dcm 文件)
  • 使用 JPEG 文件存储 DICOM JSON 元数据

如果您直接存储 DICOM 实例,则只需要 application/dicom Accept 标头。但是,使用 JPEG 文件存储 DICOM JSON 元数据的所有请求都是分段消息,通过其 Content-Typemultipart/related 部分指定。Content-Typemultipart/related 部分表示请求由请求完成后合并的分段数据组成。每组数据必须使用边界(由 Content-Typeboundary 部分指定)来分隔。

以下示例展示了如何将实例存储在 DICOM 存储区。如需了解详情,请参阅 projects.locations.datasets.dicomStores.storeInstances

存储 DICOM 实例

以下示例展示了如何存储 DICOM 实例。

curl 命令

要存储 DICOM 实例,请发出 POST 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • DICOM 实例文件
  • 访问令牌

以下示例展示了使用 curlPOST 请求。

curl -X POST \
    -H "Content-Type: application/dicom" \
    -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
    https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies \
    --data-binary @DCM_FILE.dcm

如果请求成功,服务器将以 XML 格式返回响应:

<NativeDicomModel>
  <DicomAttribute tag="00081190" vr="UR" keyword="RetrieveURL">
    <Value number="1">https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID</Value>
  </DicomAttribute>
  <DicomAttribute tag="00081199" vr="SQ" keyword="ReferencedSOPSequence">
    <Item number="1">
      <DicomAttribute tag="00081150" vr="UI" keyword="ReferencedSOPClassUID">
        <Value number="1">SOPClassUID</Value>
      </DicomAttribute>
      <DicomAttribute tag="00081155" vr="UI" keyword="ReferencedSOPInstanceUID">
        <Value number="1">SOPInstanceUID</Value>
      </DicomAttribute>
      <DicomAttribute tag="00081190" vr="UR" keyword="RetrieveURL">
        <Value number="1">https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID</Value>
      </DicomAttribute>
    </Item>
  </DicomAttribute>
</NativeDicomModel>

PowerShell

要存储 DICOM 实例,请发出 POST 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • DICOM 实例文件
  • 访问令牌

以下示例展示了使用 Windows PowerShell 的 POST 请求。

$cred = gcloud auth application-default print-access-token
$headers = @{ Authorization = "Bearer $cred" }

Invoke-WebRequest `
  -Method Post `
  -Headers $headers `
  -ContentType: "application/dicom" `
  -InFile DCM_FILE.dcm `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies" | Select-Object -Expand Content

如果请求成功,服务器将以 XML 格式返回响应:

<NativeDicomModel>
  <DicomAttribute tag="00081190" vr="UR" keyword="RetrieveURL">
    <Value number="1">https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID</Value>
  </DicomAttribute>
  <DicomAttribute tag="00081199" vr="SQ" keyword="ReferencedSOPSequence">
    <Item number="1">
      <DicomAttribute tag="00081150" vr="UI" keyword="ReferencedSOPClassUID">
        <Value number="1">SOPClassUID</Value>
      </DicomAttribute>
      <DicomAttribute tag="00081155" vr="UI" keyword="ReferencedSOPInstanceUID">
        <Value number="1">SOPInstanceUID</Value>
      </DicomAttribute>
      <DicomAttribute tag="00081190" vr="UR" keyword="RetrieveURL">
        <Value number="1">https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID</Value>
      </DicomAttribute>
    </Item>
  </DicomAttribute>
</NativeDicomModel>

Go

import (
	"bytes"
	"context"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebStoreInstance stores the given dicomFile with the dicomWebPath.
func dicomWebStoreInstance(w io.Writer, projectID, location, datasetID, dicomStoreID, dicomWebPath, dicomFile string) error {
	ctx := context.Background()

	dicomData, err := ioutil.ReadFile(dicomFile)
	if err != nil {
		return fmt.Errorf("ReadFile: %v", err)
	}

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %v", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	call := storesService.StoreInstances(parent, dicomWebPath, bytes.NewReader(dicomData))
	call.Header().Set("Content-Type", "application/dicom")
	resp, err := call.Do()
	if err != nil {
		return fmt.Errorf("StoreInstances: %v", err)
	}
	defer resp.Body.Close()

	respBytes, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return fmt.Errorf("could not read response: %v", err)
	}

	if resp.StatusCode > 299 {
		return fmt.Errorf("StoreInstances: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
	}
	fmt.Fprintf(w, "%s", respBytes)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.File;
import java.io.IOException;
import java.net.URISyntaxException;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Collections;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.HttpStatus;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpUriRequest;
import org.apache.http.client.methods.RequestBuilder;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.entity.ByteArrayEntity;
import org.apache.http.impl.client.HttpClients;

public class DicomWebStoreInstance {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final JsonFactory JSON_FACTORY = new JacksonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebStoreInstance(String dicomStoreName, String filePath)
      throws IOException, URISyntaxException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
    // String filePath = "path/to/file.dcm";

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    HttpClient httpClient = HttpClients.createDefault();
    String uri = String.format("%sv1/%s/dicomWeb/studies", client.getRootUrl(), dicomStoreName);
    URIBuilder uriBuilder = new URIBuilder(uri).setParameter("access_token", getAccessToken());
    // Load the data from file representing the study.
    File f = new File(filePath);
    byte[] dicomBytes = Files.readAllBytes(Paths.get(filePath));
    ByteArrayEntity requestEntity = new ByteArrayEntity(dicomBytes);

    HttpUriRequest request =
        RequestBuilder.post(uriBuilder.build())
            .setEntity(requestEntity)
            .addHeader("Content-Type", "application/dicom")
            .build();

    // Execute the request and process the results.
    HttpResponse response = httpClient.execute(request);
    HttpEntity responseEntity = response.getEntity();
    if (response.getStatusLine().getStatusCode() != HttpStatus.SC_OK) {
      System.err.print(
          String.format(
              "Exception storing DICOM instance: %s\n", response.getStatusLine().toString()));
      responseEntity.writeTo(System.err);
      throw new RuntimeException();
    }
    System.out.println("DICOM instance stored: ");
    responseEntity.writeTo(System.out);
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }

  private static String getAccessToken() throws IOException {
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    return credential.refreshAccessToken().getTokenValue();
  }
}

Node.js

const {google} = require('googleapis');
const healthcare = google.healthcare('v1');
const fs = require('fs');

const dicomWebStoreInstance = async () => {
  const auth = await google.auth.getClient({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  });
  google.options({
    auth,
    headers: {
      'Content-Type': 'application/dicom',
      Accept: 'application/dicom+json',
    },
  });

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  // const dcmFile = 'file.dcm';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = `studies`;
  const binaryData = fs.createReadStream(dcmFile);
  const request = {
    parent,
    dicomWebPath,
    requestBody: binaryData,
  };

  const instance = await healthcare.projects.locations.datasets.dicomStores.storeInstances(
    request
  );
  console.log(`Stored DICOM instance:\n`, JSON.stringify(instance.data));
};

dicomWebStoreInstance();

Python

def dicomweb_store_instance(
    base_url, project_id, cloud_region, dataset_id, dicom_store_id, dcm_file
):
    """Handles the POST requests specified in the DICOMweb standard."""
    url = "{}/projects/{}/locations/{}".format(base_url, project_id, cloud_region)

    dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/studies".format(
        url, dataset_id, dicom_store_id
    )

    # Make an authenticated API request
    session = get_session()

    with open(dcm_file, "rb") as dcm:
        dcm_content = dcm.read()

    content_type = "application/dicom"
    headers = {"Content-Type": content_type}

    response = session.post(dicomweb_path, data=dcm_content, headers=headers)
    response.raise_for_status()
    print("Stored DICOM instance:")
    print(response.text)
    return response

创建 JSON 元数据和 JPEG 图片的 DICOM 实例

Cloud Healthcare API 可以使用 JSON 元数据文件和 JPEG 图片创建 DICOM 实例。如果您不想自行执行 DICOM 解析和序列化,请使用 JSON 元数据和 JPEG 图片创建 DICOM 实例,因为 Cloud Healthcare API 可以为您执行这些任务。

存储此数据的 HTTP 请求必须在请求的 Content-Type 中添加以下内容:

  • multipart/related 媒体类型
  • MIME 类型 application/dicom+json
  • boundary 分隔符

以下示例展示了如何使用 JPEG 文件存储 JSON 元数据文件。

curl 命令

以下示例假定您已有 JPEG 图片。

使用 JPEG 图片存储 JSON 元数据文件包括以下三个步骤:

  1. 创建一个文件,其中包含内有 JPEG 图片的 DICOM 实例的 JSON 表示法。下面提供了模板文件。
  2. 创建三个边界文件:

    • opening.file:包含 JSON 元数据文件的起始边界
    • middle.file:包含 JPEG 图片的中间边界
    • closing.file:包含消息所有部分的结束边界
  3. 通过在边界文件中包含 JSON 元数据文件和 JPEG 图片,创建一个名为 multipart-request.file 的文件。

请注意:JSON 元数据模板文件中默认提供以下值:

  • 传输语法 UID (1.2.840.10008.1.2.4.50) 将传输语法指定为 JPEG Baseline。大多数 JPEG 图片采用 JPEG Baseline 格式。光度可解释性值 (YBR_FULL_422) 表示图片是彩色的,而不是灰度模式。
  • BulkDataUri 是图片的任意描述符,在模板中设置为 jpeg-image。在创建图片边界时会用到此值。

SOPClassUIDSOPInstanceUIDStudyInstanceUIDSeriesInstanceUID 的值可以是以句点分隔的任何数值。DICOM 会为实例、患者、研究和系列使用标识符层次结构,因此请为这些变量选择逻辑标识符集。

SOP Class UID 替换为标准 SOP 类中的某个值,以指定存储的图片类型。

Rows 替换为 JPEG 图片的垂直高度(以像素为单位)。将 Columns 替换为 JPEG 图片的水平宽度(以像素为单位)。

请完成以下步骤:

  1. 将以下文本保存到名为 instance.json 的文件中,并在指定时替换变量。

    [{
     "00020010":{"vr":"UI","Value":["1.2.840.10008.1.2.4.50"]},
     "00080005":{"vr":"CS","Value":["ISO_IR 192"]},
     "00080016":{"vr":"UI","Value":["SOPClassUID"]},
     "00080018":{"vr":"UI","Value":["SOPInstanceUID"]},
     "0020000D":{"vr":"UI","Value":["StudyInstanceUID"]},
     "0020000E":{"vr":"UI","Value":["SeriesInstanceUID"]},
     "00280002":{"vr":"US","Value":[3]},
     "00280004":{"vr":"CS","Value":["YBR_FULL_422"]},
     "00280006":{"vr":"US","Value":[0]},
     "00280008":{"vr":"IS","Value":[1]},
     "00280010":{"vr":"US","Value":[Rows]},
     "00280011":{"vr":"US","Value":[Columns]},
     "00280100":{"vr":"US","Value":[8]},
     "00280101":{"vr":"US","Value":[8]},
     "00280102":{"vr":"US","Value":[7]},
     "00280103":{"vr":"US","Value":[0]},
     "7FE00010":{"vr":"OB","BulkDataURI":"jpeg-image"}
    }]
    
  2. 如需创建起始(用于 JSON 元数据)、中间(针对 JPEG 图片)和结束边界,请运行以下命令:

    echo -ne "--DICOMwebBoundary\r\nContent-Type: application/dicom+json\r\n\r\n" > opening.file
    echo -ne "\r\n--DICOMwebBoundary\r\nContent-Location: jpeg-image\r\nContent-Type: image/jpeg; transfer-syntax=1.2.840.10008.1.2.4.50\r\n\r\n" > middle.file
    echo -ne "\r\n--DICOMwebBoundary--" > closing.file
    
  3. 将 JPEG 图片封装在中间和结束边界内。您发送到 Cloud Healthcare API 的输出文件称为 multipart-request.file

    cat opening.file instance.json middle.file image.jpg closing.file > multipart-request.file
    
  4. 发出 POST 请求并指定以下信息:

    • 父数据集的名称
    • DICOM 存储区的名称
    • multipart-request.file 文件
    • 访问令牌

以下示例展示了使用 curlPOST 请求。

curl -X POST \
    -H "Content-Type: multipart/related; type=\"application/dicom+json\"; boundary=DICOMwebBoundary" \
    -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
    https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies \
    --data-binary @multipart-request.file

如果请求成功,服务器将以 XML 格式返回响应:

<NativeDicomModel>
  <DicomAttribute tag="00081190" vr="UR" keyword="RetrieveURL">
    <Value number="1">https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID</Value>
  </DicomAttribute>
  <DicomAttribute tag="00081199" vr="SQ" keyword="ReferencedSOPSequence">
    <Item number="1">
      <DicomAttribute tag="00081150" vr="UI" keyword="ReferencedSOPClassUID">
        <Value number="1">SOPClassUID</Value>
      </DicomAttribute>
      <DicomAttribute tag="00081155" vr="UI" keyword="ReferencedSOPInstanceUID">
        <Value number="1">SOPInstanceUID</Value>
      </DicomAttribute>
      <DicomAttribute tag="00081190" vr="UR" keyword="RetrieveURL">
        <Value number="1">https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID</Value>
      </DicomAttribute>
    </Item>
  </DicomAttribute>
</NativeDicomModel>

使用 DICOMweb CLI

以下示例展示如何使用 Cloud Healthcare API DICOMweb CLI 存储一个或多个 DICOM 实例。DICOMweb CLI GitHub 代码库中提供了更多示例。

存储单个 DICOM 实例

dcmweb \
  https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb \
  store DCM_FILE

如果请求成功,则服务器会返回类似于以下示例的响应:

TIMESTAMP -- DCM_FILE.dcm uploaded as https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID TIMESTAMP -- INSTANCE_UID
TIMESTAMP -- Transferred SIZE in COUNT files

使用通配符并行存储多个文件

以下示例展示了如何从当前工作目录定期并行存储多个 DICOM 文件。要并行存储文件,请添加 -m 标志。

dcmweb -m \
  https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb \
  store "./**.dcm"

如果请求成功,则服务器会返回类似于以下示例的响应:

TIMESTAMP -- DCM_FILE_1.dcm uploaded as https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID TIMESTAMP -- INSTANCE_UID
TIMESTAMP -- DCM_FILE_2.dcm uploaded as https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID TIMESTAMP -- INSTANCE_UID
TIMESTAMP -- DCM_FILE_3.dcm uploaded as https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID TIMESTAMP -- INSTANCE_UID
...
TIMESTAMP -- Transferred SIZE in COUNT files

搜索研究、系列、实例和框架

以下示例展示了搜索交易的实现,以在 DICOM 存储区中搜索实例。如需了解详情,请参阅 Cloud Healthcare API DICOM 一致性声明中的搜索事务

以下示例展示了如何在 DICOM 存储区中搜索实例。如需了解详情,请参阅 projects.locations.datasets.dicomStores.searchForInstances

curl 命令

要在 DICOM 存储区中搜索实例,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 访问令牌

以下示例展示了使用 curlGET 请求。

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
     "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/instances"

如果请求成功,服务器将以 JSON 格式返回响应:

[
   {
      "00080005":{
         "vr":"CS",
         "Value":[
            "CODE_STRING"
         ]
      },
      "00080016":{
         "vr":"UI",
         "Value":[
            "UNIQUE_IDENTIFIER"
         ]
      },
      "00080018":{
         "vr":"UI",
         "Value":[
            "UNIQUE_IDENTIFIER"
         ]
      },
      "00080020":{
         "vr":"DA",
         "Value":[
            "DATE_TIME"
         ]
      },
      "00080030":{
         "vr":"TM",
         "Value":[
            "TIME"
         ]
      },
      "00080060":{
         "vr":"CS",
         "Value":[
            "CODE_STRING"
         ]
      },
      "0008103E":{
         "vr":"LO",
         "Value":[
            "LONG_STRING"
         ]
      },
      "00100010":{
         "vr":"PN",
         "Value":[
            {
               "Alphabetic":"Anonymized"
            }
         ]
      },
   },

...

]

PowerShell

要在 DICOM 存储区中搜索实例,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 访问令牌

以下示例展示了使用 Windows PowerShell 的 GET 请求。

$cred = gcloud auth application-default print-access-token
$headers = @{ Authorization = "Bearer $cred" }

Invoke-RestMethod `
  -Method Get `
  -Headers $headers `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/instances"

如果请求成功,服务器将以 JSON 格式返回响应:

[
   {
      "00080005":{
         "vr":"CS",
         "Value":[
            "CODE_STRING"
         ]
      },
      "00080016":{
         "vr":"UI",
         "Value":[
            "UNIQUE_IDENTIFIER"
         ]
      },
      "00080018":{
         "vr":"UI",
         "Value":[
            "UNIQUE_IDENTIFIER"
         ]
      },
      "00080020":{
         "vr":"DA",
         "Value":[
            "DATE_TIME"
         ]
      },
      "00080030":{
         "vr":"TM",
         "Value":[
            "TIME"
         ]
      },
      "00080060":{
         "vr":"CS",
         "Value":[
            "CODE_STRING"
         ]
      },
      "0008103E":{
         "vr":"LO",
         "Value":[
            "LONG_STRING"
         ]
      },
      "00100010":{
         "vr":"PN",
         "Value":[
            {
               "Alphabetic":"Anonymized"
            }
         ]
      },
   },

...

]

Go

import (
	"context"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebSearchInstances searches instances.
func dicomWebSearchInstances(w io.Writer, projectID, location, datasetID, dicomStoreID string) error {
	// projectID := "my-project"
	// location := "us-central1"
	// datasetID := "my-dataset"
	// dicomStoreID := "my-dicom-store"
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %v", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	resp, err := storesService.SearchForInstances(parent, "instances").Do()
	if err != nil {
		return fmt.Errorf("SearchForInstances: %v", err)
	}

	defer resp.Body.Close()

	respBytes, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return fmt.Errorf("ioutil.ReadAll: %v", err)
	}

	if resp.StatusCode > 299 {
		return fmt.Errorf("SearchForInstances: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
	}

	respString := string(respBytes)
	fmt.Fprintf(w, "Found instances: %s\n", respString)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.HttpResponse;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DicomWebSearchForInstances {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final JsonFactory JSON_FACTORY = new JacksonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebSearchForInstances(String dicomStoreName) throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    DicomStores.SearchForInstances request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .searchForInstances(dicomStoreName, "instances");

    // Execute the request and process the results.
    HttpResponse response = request.executeUnparsed();
    System.out.println("Dicom store instances found: \n" + response.toString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const {google} = require('googleapis');
const healthcare = google.healthcare('v1');

const dicomWebSearchForInstances = async () => {
  const auth = await google.auth.getClient({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  });
  google.options({
    auth,
    headers: {Accept: 'application/dicom+json,multipart/related'},
  });

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = `instances`;
  const request = {parent, dicomWebPath};

  const instances = await healthcare.projects.locations.datasets.dicomStores.searchForInstances(
    request
  );
  console.log(`Found ${instances.data.length} instances:`);
  console.log(JSON.stringify(instances.data));
};

dicomWebSearchForInstances();

Python

def dicomweb_search_instance(
    base_url, project_id, cloud_region, dataset_id, dicom_store_id
):
    """Handles the GET requests specified in DICOMweb standard."""
    url = "{}/projects/{}/locations/{}".format(base_url, project_id, cloud_region)

    dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/instances".format(
        url, dataset_id, dicom_store_id
    )

    # Make an authenticated API request
    session = get_session()

    headers = {"Content-Type": "application/dicom+json; charset=utf-8"}

    response = session.get(dicomweb_path, headers=headers)
    response.raise_for_status()

    instances = response.json()

    print("Instances:")
    print(json.dumps(instances, indent=2))

    return instances

使用 DICOM 标记进行搜索

您可以以查询参数的形式,通过向请求附加 DICOM 标记来优化搜索。例如,您可能希望搜索包含患者姓名的研究。

与前面的示例一样,以下示例显示了搜索事务的实现,以在 DICOM 存储区中搜索研究。但是,这些示例还演示了如何搜索患者姓名为“Sally Zhang”的研究。

以下示例展示了列出患者姓名的 DICOM 实例元数据的部分内容:

...
{
  "vr": "PN",
  "Value": [
    {
      "Alphabetic": "Sally Zhang"
    }
  ]
}
...

要在 DICOM 存储区中搜索与患者相关的研究,请在请求中添加查询参数,并在其中搜索 PatientName DICOM 标记。如需查看 Cloud Healthcare API 中支持的搜索参数列表,请参阅搜索事务文档。

curl 命令

如需在 DICOM 存储区中搜索研究时使用标记,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 查询参数
  • 访问令牌

以下示例展示了使用 curlGET 请求。

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
     "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies?PatientName=Sally%20Zhang"

如果请求成功,服务器将以 JSON 格式返回响应:

[
  {
    "00080005": {
      "vr": "CS",
      "Value": [
        "CODE_STRING"
      ]
    },
    "00080020": {
      "vr": "DA",
      "Value": [
        "DATE_TIME"
      ]
    },
    "00080030": {
      "vr": "TM",
      "Value": [
        "TIME"
      ]
    },
    "00080050": {
      "vr": "SH"
    },
    "00080090": {
      "vr": "PN",
      "Value": [
        {
          "Alphabetic": "VALUE"
        }
      ]
    },
    "00100010": {
      "vr": "PN",
      "Value": [
        {
          "Alphabetic": "Sally Zhang"
        }
      ]
    },
    "00100020": {
      "vr": "LO",
      "Value": [
        "VALUE"
      ]
    },
    "00100030": {
      "vr": "DA"
    },
    "00100040": {
      "vr": "CS",
      "Value": [
        "F"
      ]
    },
    "0020000D": {
      "vr": "UI",
      "Value": [
        "STUDY_INSTANCE_UID"
      ]
    },
    "00200010": {
      "vr": "SH"
    }
  }
]

PowerShell

如需在 DICOM 存储区中搜索研究时使用标记,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 查询参数
  • 访问令牌

以下示例展示了使用 Windows PowerShell 的 GET 请求。

$cred = gcloud auth application-default print-access-token
$headers = @{ Authorization = "Bearer $cred" }

Invoke-RestMethod `
  -Method Get `
  -Headers $headers `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies?PatientName=Sally%20Zhang"

如果请求成功,服务器将以 JSON 格式返回响应:

[
  {
    "00080005": {
      "vr": "CS",
      "Value": [
        "CODE_STRING"
      ]
    },
    "00080020": {
      "vr": "DA",
      "Value": [
        "DATE_TIME"
      ]
    },
    "00080030": {
      "vr": "TM",
      "Value": [
        "TIME"
      ]
    },
    "00080050": {
      "vr": "SH"
    },
    "00080090": {
      "vr": "PN",
      "Value": [
        {
          "Alphabetic": "VALUE"
        }
      ]
    },
    "00100010": {
      "vr": "PN",
      "Value": [
        {
          "Alphabetic": "Sally Zhang"
        }
      ]
    },
    "00100020": {
      "vr": "LO",
      "Value": [
        "VALUE"
      ]
    },
    "00100030": {
      "vr": "DA"
    },
    "00100040": {
      "vr": "CS",
      "Value": [
        "F"
      ]
    },
    "0020000D": {
      "vr": "UI",
      "Value": [
        "STUDY_INSTANCE_UID"
      ]
    },
    "00200010": {
      "vr": "SH"
    }
  }
]

Go

import (
	"context"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// queryParamOpt is a googleapi.Option (https://godoc.org/google.golang.org/api/googleapi#CallOption)
// that adds query parameters to an API call.
type queryParamOpt struct {
	key, value string
}

func (qp queryParamOpt) Get() (string, string) { return qp.key, qp.value }

// dicomWebSearchStudies refines a DICOMweb studies search by appending DICOM tags to the request.
func dicomWebSearchStudies(w io.Writer, projectID, location, datasetID, dicomStoreID, dicomWebPath string) error {
	// projectID := "my-project"
	// location := "us-central1"
	// datasetID := "my-dataset"
	// dicomStoreID := "my-dicom-store"
	// dicomWebPath := "studies"
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %v", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores

	name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	call := storesService.SearchForStudies(name, dicomWebPath)
	// Refine your search by appending DICOM tags to the
	// request in the form of query parameters. This sample
	// searches for studies containing a patient's name.
	patientName := queryParamOpt{key: "PatientName", value: "Sally Zhang"}
	resp, err := call.Do(patientName)
	if err != nil {
		return fmt.Errorf("Get: %v", err)
	}

	defer resp.Body.Close()

	respBytes, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return fmt.Errorf("ioutil.ReadAll: %v", err)
	}

	if resp.StatusCode > 299 {
		return fmt.Errorf("SearchForStudies: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
	}
	respString := string(respBytes)
	fmt.Fprintf(w, "Found studies: %s\n", respString)

	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.HttpResponse;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DicomWebSearchStudies {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final JsonFactory JSON_FACTORY = new JacksonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebSearchStudies(String dicomStoreName) throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    DicomStores.SearchForStudies request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .searchForStudies(dicomStoreName, "studies")
            // Refine your search by appending DICOM tags to the
            // request in the form of query parameters. This sample
            // searches for studies containing a patient's name.
            .set("PatientName", "Sally Zhang");

    // Execute the request and process the results.
    HttpResponse response = request.executeUnparsed();
    System.out.println("Studies found: \n" + response.toString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const {google} = require('googleapis');
const healthcare = google.healthcare('v1');

const dicomWebSearchStudies = async () => {
  const auth = await google.auth.getClient({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  });

  google.options({
    auth,
    // Refine your search by appending DICOM tags to the
    // request in the form of query parameters. This sample
    // searches for studies containing a patient's name.
    params: {PatientName: 'Sally Zhang'},
    headers: {Accept: 'application/dicom+json'},
  });

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = `studies`;
  const request = {parent, dicomWebPath};

  const studies = await healthcare.projects.locations.datasets.dicomStores.searchForStudies(
    request
  );
  console.log(studies);

  console.log(`Found ${studies.data.length} studies:`);
  console.log(JSON.stringify(studies.data));
};

dicomWebSearchStudies();

Python

def dicomweb_search_studies(
    base_url, project_id, cloud_region, dataset_id, dicom_store_id
):
    """Handles the GET requests specified in the DICOMweb standard."""
    url = "{}/projects/{}/locations/{}".format(base_url, project_id, cloud_region)

    dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/studies".format(
        url, dataset_id, dicom_store_id
    )

    # Refine your search by appending DICOM tags to the
    # request in the form of query parameters. This sample
    # searches for studies containing a patient's name.
    params = {"PatientName": "Sally Zhang"}

    session = get_session()

    response = session.get(dicomweb_path, params=params)

    response.raise_for_status()

    print("Studies found: response is {}".format(response))

    # Uncomment the following lines to process the response as JSON.
    # patients = response.json()
    # print('Patients found matching query:')
    # print(json.dumps(patients, indent=2))

    # return patients

使用 DICOMweb CLI

以下示例展示了如何使用 Cloud Healthcare API DICOMweb CLI 搜索 DICOM 存储区中的实例。DICOMweb CLI GitHub 代码库中提供了更多示例,包括如何筛选搜索。

dcmweb \
  https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb \
  search instances

如果请求成功,服务器将以 JSON 格式返回响应:

[
   {
      "00080005":{
         "vr":"CS",
         "Value":[
            "CODE_STRING"
         ]
      },
      "00080016":{
         "vr":"UI",
         "Value":[
            "UNIQUE_IDENTIFIER"
         ]
      },
      "00080018":{
         "vr":"UI",
         "Value":[
            "UNIQUE_IDENTIFIER"
         ]
      },
      "00080020":{
         "vr":"DA",
         "Value":[
            "DATE_TIME"
         ]
      },
      "00080030":{
         "vr":"TM",
         "Value":[
            "TIME"
         ]
      },
      "00080060":{
         "vr":"CS",
         "Value":[
            "CODE_STRING"
         ]
      },
      "0008103E":{
         "vr":"LO",
         "Value":[
            "LONG_STRING"
         ]
      },
      "00100010":{
         "vr":"PN",
         "Value":[
            {
               "Alphabetic":"Anonymized"
            }
         ]
      },
   },

...

]

检索 DICOM 数据

Cloud Healthcare API 实现了检索事务,用于检索 DICOM 存储区中的研究、系列、实例和框架。

如需了解详情,请参阅 Cloud Healthcare API DICOM 一致性声明中的检索事务

检索研究

以下示例演示了如何检索研究。如需了解详情,请参阅 Cloud Healthcare API DICOM 一致性声明中的 DICOM 研究/系列/实例

指定输出文件时,请使用 .multipart 之类的扩展程序。然后,解析分段文件,以获取研究中的单个系列和实例。

如需了解详情,请参阅 projects.locations.datasets.dicomStores.studies.retrieveStudy

curl 命令

如需检索研究,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究唯一标识符 (UID)
  • 输出文件
  • 访问令牌

以下示例展示了使用 curlGET 请求。

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
     -H "Accept: multipart/related; type=application/dicom; transfer-syntax=*" \
     --output FILENAME.multipart \
     "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID"

如果请求成功,系统会将 DICOM 文件写入您的机器。

PowerShell

如需检索研究,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究唯一标识符 (UID)
  • 输出文件
  • 访问令牌

以下示例展示了使用 Windows PowerShell 的 GET 请求。

$cred = gcloud auth application-default print-access-token
$headers = @{ Authorization = "Bearer $cred"; Accept = "multipart/related; type=application/dicom; transfer-syntax=*" }

Invoke-WebRequest `
  -Method Get `
  -Headers $headers `
  -OutFile FILENAME.multipart `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID" | Select-Object -Expand Content

如果请求成功,系统会将 DICOM 文件写入您的机器。

Go

import (
	"context"
	"fmt"
	"io"
	"os"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebRetrieveStudy retrieves all instances in the given dicomWebPath
// study.
func dicomWebRetrieveStudy(w io.Writer, projectID, location, datasetID, dicomStoreID, dicomWebPath string, outputFile string) error {
	// projectID := "my-project"
	// location := "us-central1"
	// datasetID := "my-dataset"
	// dicomStoreID := "my-dicom-store"
	// dicomWebPath := "studies/1.3.6.1.4.1.11129.5.5.111396399857604"
	// outputFile := "study.multipart"
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %v", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores.Studies

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	resp, err := storesService.RetrieveStudy(parent, dicomWebPath).Do()
	if err != nil {
		return fmt.Errorf("RetrieveStudy: %v", err)
	}

	defer resp.Body.Close()

	if resp.StatusCode > 299 {
		return fmt.Errorf("RetrieveStudy: status %d %s: %s", resp.StatusCode, resp.Status, resp.Body)
	}

	file, err := os.Create(outputFile)
	if err != nil {
		return fmt.Errorf("os.Create: %v", err)
	}
	defer file.Close()
	if _, err := io.Copy(file, resp.Body); err != nil {
		return fmt.Errorf("io.Copy: %v", err)
	}

	// When specifying the output file, use an extension like ".multipart".
	// Then, parse the downloaded multipart file to get each individual DICOM
	// file.
	fmt.Fprintf(w, "Study retrieved and downloaded to file: %v\n", outputFile)

	return nil
}

Java

import com.google.api.client.http.HttpHeaders;
import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.HttpResponse;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores.Studies;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.util.Collections;

public class DicomWebRetrieveStudy {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final JsonFactory JSON_FACTORY = new JacksonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebRetrieveStudy(String dicomStoreName, String studyId)
      throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
    // String studyId = "your-study-id";

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Studies.RetrieveStudy request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .studies()
            .retrieveStudy(dicomStoreName, "studies/" + studyId);

    // Execute the request and process the results.
    HttpResponse response = request.executeUnparsed();

    // When specifying the output file, use an extension like ".multipart".
    // Then, parse the downloaded multipart file to get each individual
    // DICOM file.
    String outputPath = "study.multipart";
    OutputStream outputStream = new FileOutputStream(new File(outputPath));
    try {
      response.download(outputStream);
      System.out.println("DICOM study written to file " + outputPath);
    } finally {
      outputStream.close();
    }

    if (!response.isSuccessStatusCode()) {
      System.err.print(
          String.format("Exception retrieving DICOM study: %s\n", response.getStatusMessage()));
      throw new RuntimeException();
    }
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    HttpHeaders headers = new HttpHeaders();
    // The response's default transfer syntax is Little Endian Explicit.
    // As a result, if the file was uploaded using a compressed transfer syntax,
    // the returned object will be decompressed. This can negatively impact performance and lead
    // to errors for transfer syntaxes that the Cloud Healthcare API doesn't support.
    // To avoid these issues, and if the returned object's transfer syntax doesn't matter to
    // your application, use the
    // multipart/related; type="application/dicom"; transfer-syntax=* Accept Header.
    headers.setAccept("multipart/related; type=application/dicom; transfer-syntax=*");
    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const {google} = require('googleapis');
const healthcare = google.healthcare('v1');
const fs = require('fs');
const util = require('util');
const writeFile = util.promisify(fs.writeFile);
// When specifying the output file, use an extension like ".multipart."
// Then, parse the downloaded multipart file to get each individual
// DICOM file.
const fileName = 'study_file.multipart';

const dicomWebRetrieveStudy = async () => {
  const auth = await google.auth.getClient({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  });
  google.options({
    auth,
    headers: {
      Accept: 'multipart/related; type=application/dicom; transfer-syntax=*',
    },
    responseType: 'arraybuffer',
  });

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  // const studyUid = '1.3.6.1.4.1.5062.55.1.2270943358.716200484.1363785608958.61.0';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = `studies/${studyUid}`;
  const request = {parent, dicomWebPath};

  const study = await healthcare.projects.locations.datasets.dicomStores.studies.retrieveStudy(
    request
  );

  const fileBytes = Buffer.from(study.data);

  await writeFile(fileName, fileBytes);
  console.log(
    `Retrieved study and saved to ${fileName} in current directory`
  );
};

dicomWebRetrieveStudy();

Python

def dicomweb_retrieve_study(
    base_url, project_id, cloud_region, dataset_id, dicom_store_id, study_uid
):
    """Handles the GET requests specified in the DICOMweb standard."""
    url = "{}/projects/{}/locations/{}".format(base_url, project_id, cloud_region)

    dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/studies/{}".format(
        url, dataset_id, dicom_store_id, study_uid
    )

    # When specifying the output file, use an extension like ".multipart."
    # Then, parse the downloaded multipart file to get each individual
    # DICOM file.
    file_name = "study.multipart"

    # Make an authenticated API request
    session = get_session()

    response = session.get(dicomweb_path)

    response.raise_for_status()

    with open(file_name, "wb") as f:
        f.write(response.content)
        print("Retrieved study and saved to {} in current directory".format(file_name))

    return response

检索实例

以下示例显示了如何检索实例。如需了解详情,请参阅 Cloud Healthcare API DICOM 一致性声明中的 DICOM 实例

如果您要检索实例,则可以使用 Accept: application/dicom HTTP 标头避免解析分段边界。如果添加 transfer-syntax=*,系统会返回文件最初存储时采用的格式,以避免转码。

如需了解详情,请参阅 projects.locations.datasets.dicomStores.studies.series.instances.retrieveInstance

curl 命令

如需检索实例,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究唯一标识符 (UID)
  • 系列 UID、实例 UID
  • 输出文件名
  • 访问令牌

以下示例展示了使用 curlGET 请求。

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
     -H "Accept: application/dicom; transfer-syntax=*" \
     --output FILENAME.dcm \
     "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID"

如果请求成功,系统会将 DICOM 文件写入您的机器。

PowerShell

如需检索实例,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究唯一标识符 (UID)
  • 系列 UID
  • 实例 UID
  • 输出文件名
  • 访问令牌

以下示例展示了使用 Windows PowerShell 的 GET 请求。

$cred = gcloud auth application-default print-access-token
$headers = @{ Authorization = "Bearer $cred"; Accept = "application/dicom; transfer-syntax=*" }

Invoke-RestMethod `
  -Method Get `
  -Headers $headers `
  -OutFile FILENAME.dcm `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID"

如果请求成功,系统会将 DICOM 文件写入您的机器。

Go

import (
	"context"
	"fmt"
	"io"
	"os"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebRetrieveInstance retrieves a specific instance.
func dicomWebRetrieveInstance(w io.Writer, projectID, location, datasetID, dicomStoreID, dicomWebPath string, outputFile string) error {
	// projectID := "my-project"
	// location := "us-central1"
	// datasetID := "my-dataset"
	// dicomStoreID := "my-dicom-store"
	// dicomWebPath := "studies/1.3.6.1.4.1.11129.5.5.1113639985/series/1.3.6.1.4.1.11129.5.5.1953511724/instances/1.3.6.1.4.1.11129.5.5.9562821369"
	// outputFile := "instance.dcm"
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %v", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores.Studies.Series.Instances

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	call := storesService.RetrieveInstance(parent, dicomWebPath)
	call.Header().Set("Accept", "application/dicom; transfer-syntax=*")
	resp, err := call.Do()
	if err != nil {
		return fmt.Errorf("RetrieveInstance: %v", err)
	}

	defer resp.Body.Close()

	if resp.StatusCode > 299 {
		return fmt.Errorf("RetrieveInstance: status %d %s: %s", resp.StatusCode, resp.Status, resp.Body)
	}

	file, err := os.Create(outputFile)
	if err != nil {
		return fmt.Errorf("os.Create: %v", err)
	}
	defer file.Close()
	if _, err := io.Copy(file, resp.Body); err != nil {
		return fmt.Errorf("io.Copy: %v", err)
	}

	fmt.Fprintf(w, "DICOM instance retrieved and downloaded to file: %v\n", outputFile)

	return nil
}

Java

import com.google.api.client.http.HttpHeaders;
import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.HttpResponse;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores.Studies.Series.Instances;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.util.Collections;

public class DicomWebRetrieveInstance {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final String DICOMWEB_PATH = "studies/%s/series/%s/instances/%s";
  private static final JsonFactory JSON_FACTORY = new JacksonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebRetrieveInstance(String dicomStoreName, String dicomWebPath)
      throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
    // String dicomWebPath = String.format(DICOMWEB_PATH, "your-study-id", "your-series-id",
    // "your-instance-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Instances.RetrieveInstance request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .studies()
            .series()
            .instances()
            .retrieveInstance(dicomStoreName, dicomWebPath);

    // Execute the request and process the results.
    HttpResponse response = request.executeUnparsed();

    String outputPath = "instance.dcm";
    OutputStream outputStream = new FileOutputStream(new File(outputPath));
    try {
      response.download(outputStream);
      System.out.println("DICOM instance written to file " + outputPath);
    } finally {
      outputStream.close();
    }

    if (!response.isSuccessStatusCode()) {
      System.err.print(
          String.format("Exception retrieving DICOM instance: %s\n", response.getStatusMessage()));
      throw new RuntimeException();
    }
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    HttpHeaders headers = new HttpHeaders();
    headers.set("X-GFE-SSL", "yes");
    // Avoid parsing multipart boundaries by setting 'application/dicom' HTTP header.
    // Add 'transfer-syntax=*' to avoid transcoding by returning the file in the format it
    // was originally stored in.
    headers.setAccept("application/dicom; transfer-syntax=*");
    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const {google} = require('googleapis');
const healthcare = google.healthcare('v1');
const fs = require('fs');
const util = require('util');
const writeFile = util.promisify(fs.writeFile);
const fileName = 'instance_file.dcm';

const dicomWebRetrieveInstance = async () => {
  const auth = await google.auth.getClient({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  });
  google.options({
    auth,
    headers: {Accept: 'application/dicom; transfer-syntax=*'},
    responseType: 'arraybuffer',
  });

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  // const studyUid = '1.3.6.1.4.1.5062.55.1.2270943358.716200484.1363785608958.61.0';
  // const seriesUid = '2.24.52329571877967561426579904912379710633';
  // const instanceUid = '1.3.6.2.4.2.14619.5.2.1.6280.6001.129311971280445372188125744148';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = `studies/${studyUid}/series/${seriesUid}/instances/${instanceUid}`;
  const request = {parent, dicomWebPath};

  const instance = await healthcare.projects.locations.datasets.dicomStores.studies.series.instances.retrieveInstance(
    request
  );
  const fileBytes = Buffer.from(instance.data);

  await writeFile(fileName, fileBytes);
  console.log(
    `Retrieved DICOM instance and saved to ${fileName} in current directory`
  );
};

dicomWebRetrieveInstance();

Python

def dicomweb_retrieve_instance(
    base_url,
    project_id,
    cloud_region,
    dataset_id,
    dicom_store_id,
    study_uid,
    series_uid,
    instance_uid,
):
    """Handles the GET requests specified in the DICOMweb standard."""
    url = "{}/projects/{}/locations/{}".format(base_url, project_id, cloud_region)

    dicom_store_path = "{}/datasets/{}/dicomStores/{}".format(
        url, dataset_id, dicom_store_id
    )

    dicomweb_path = "{}/dicomWeb/studies/{}/series/{}/instances/{}".format(
        dicom_store_path, study_uid, series_uid, instance_uid
    )

    file_name = "instance.dcm"

    # Make an authenticated API request
    session = get_session()

    headers = {"Accept": "application/dicom; transfer-syntax=*"}
    response = session.get(dicomweb_path, headers=headers)
    response.raise_for_status()

    with open(file_name, "wb") as f:
        f.write(response.content)
        print(
            "Retrieved DICOM instance and saved to {} in current directory".format(
                file_name
            )
        )

    return response

检索消费者图片格式

以下示例展示了如何使用渲染资源的 Cloud Healthcare API 实现来检索 JPEG 或 PNG 等消费者图片格式。如需了解详情,请参阅 Cloud Healthcare API DICOM 一致性声明中的渲染资源

如需了解详情,请参阅 projects.locations.datasets.dicomStores.studies.series.instances.retrieveRendered

curl 命令

如需检索图片,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究唯一标识符 (UID)
  • 系列 UID
  • 实例 UID
  • 输出文件名
  • 访问令牌

以下示例展示了如何使用 curl 通过 GET 请求检索 PNG 图片。

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
     -H "Accept: image/png" \
     --output FILENAME.png \
     "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID/rendered"

如果请求成功,则将 PNG 文件写入您的计算机。

PowerShell

如需检索图片,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究唯一标识符 (UID)
  • 系列 UID
  • 实例 UID
  • 输出文件名
  • 访问令牌

以下示例展示了如何使用 Windows PowerShell 通过 GET 请求检索 PNG 图片。

$cred = gcloud auth application-default print-access-token
$headers = @{ Authorization = "Bearer $cred"; Accept = "image/png" }

Invoke-RestMethod `
  -Method Get `
  -Headers $headers `
  -OutFile FILENAME.png `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID/rendered"

如果请求成功,则将 PNG 文件写入您的计算机。

Go

import (
	"context"
	"fmt"
	"io"
	"os"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebRetrieveRendered retrieves a consumer imaging format like JPEG or PNG.
func dicomWebRetrieveRendered(w io.Writer, projectID, location, datasetID, dicomStoreID, dicomWebPath string, outputFile string) error {
	// projectID := "my-project"
	// location := "us-central1"
	// datasetID := "my-dataset"
	// dicomStoreID := "my-dicom-store"
	// dicomWebPath := "studies/1.3.6.1.4.1.11129.5.5.1113639985/series/1.3.6.1.4.1.11129.5.5.1953511724/instances/1.3.6.1.4.1.11129.5.5.9562821369/rendered"
	// outputFile := "rendered_image.png"
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %v", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores.Studies.Series.Instances

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	call := storesService.RetrieveRendered(parent, dicomWebPath)
	call.Header().Set("Accept", "image/png")
	resp, err := call.Do()
	if err != nil {
		return fmt.Errorf("RetrieveRendered: %v", err)
	}

	defer resp.Body.Close()

	if resp.StatusCode > 299 {
		return fmt.Errorf("RetrieveRendered: status %d %s: %s", resp.StatusCode, resp.Status, resp.Body)
	}

	file, err := os.Create(outputFile)
	if err != nil {
		return fmt.Errorf("os.Create: %v", err)
	}
	defer file.Close()
	if _, err := io.Copy(file, resp.Body); err != nil {
		return fmt.Errorf("io.Copy: %v", err)
	}

	fmt.Fprintf(w, "Rendered PNG image retrieved and downloaded to file: %v\n", outputFile)

	return nil
}

Java

import com.google.api.client.http.HttpHeaders;
import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.HttpResponse;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores.Studies.Series.Instances;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.util.Collections;

public class DicomWebRetrieveRendered {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final String DICOMWEB_PATH = "studies/%s/series/%s/instances/%s/rendered";
  private static final JsonFactory JSON_FACTORY = new JacksonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebRetrieveRendered(String dicomStoreName, String dicomWebPath)
      throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
    // String dicomWebPath = String.format(DICOMWEB_PATH, "your-study-id", "your-series-id",
    // "your-instance-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Instances.RetrieveRendered request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .studies()
            .series()
            .instances()
            .retrieveRendered(dicomStoreName, dicomWebPath);

    // Execute the request and process the results.
    HttpResponse response = request.executeUnparsed();

    String outputPath = "image.png";
    OutputStream outputStream = new FileOutputStream(new File(outputPath));
    try {
      response.download(outputStream);
      System.out.println("DICOM rendered PNG image written to file " + outputPath);
    } finally {
      outputStream.close();
    }

    if (!response.isSuccessStatusCode()) {
      System.err.print(
          String.format(
              "Exception retrieving DICOM rendered image: %s\n", response.getStatusMessage()));
      throw new RuntimeException();
    }
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    HttpHeaders headers = new HttpHeaders();
    headers.set("X-GFE-SSL", "yes");
    // Retrieve using the PNG consumer imaging format.
    headers.setAccept("image/png");
    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const {google} = require('googleapis');
const healthcare = google.healthcare('v1');
const fs = require('fs');
const util = require('util');
const writeFile = util.promisify(fs.writeFile);
const fileName = 'rendered_image.png';

const dicomWebRetrieveRendered = async () => {
  const auth = await google.auth.getClient({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  });
  google.options({
    auth,
    headers: {Accept: 'image/png'},
    responseType: 'arraybuffer',
  });

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  // const studyUid = '1.3.6.1.4.1.5062.55.1.2270943358.716200484.1363785608958.61.0';
  // const seriesUid = '2.24.52329571877967561426579904912379710633';
  // const instanceUid = '1.3.6.2.4.2.14619.5.2.1.6280.6001.129311971280445372188125744148';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = `studies/${studyUid}/series/${seriesUid}/instances/${instanceUid}/rendered`;
  const request = {parent, dicomWebPath};

  const rendered = await healthcare.projects.locations.datasets.dicomStores.studies.series.instances.retrieveRendered(
    request
  );
  const fileBytes = Buffer.from(rendered.data);

  await writeFile(fileName, fileBytes);
  console.log(
    `Retrieved rendered image and saved to ${fileName} in current directory`
  );
};

dicomWebRetrieveRendered();

Python

def dicomweb_retrieve_rendered(
    base_url,
    project_id,
    cloud_region,
    dataset_id,
    dicom_store_id,
    study_uid,
    series_uid,
    instance_uid,
):
    """Handles the GET requests specified in the DICOMweb standard."""
    url = "{}/projects/{}/locations/{}".format(base_url, project_id, cloud_region)

    dicom_store_path = "{}/datasets/{}/dicomStores/{}".format(
        url, dataset_id, dicom_store_id
    )

    instance_path = "{}/dicomWeb/studies/{}/series/{}/instances/{}".format(
        dicom_store_path, study_uid, series_uid, instance_uid
    )

    dicomweb_path = "{}/rendered".format(instance_path)

    file_name = "rendered_image.png"

    # Make an authenticated API request
    session = get_session()

    headers = {"Accept": "image/png"}
    response = session.get(dicomweb_path, headers=headers)
    response.raise_for_status()

    with open(file_name, "wb") as f:
        f.write(response.content)
        print(
            "Retrieved rendered image and saved to {} in current directory".format(
                file_name
            )
        )

    return response

检索元数据

您可以检索研究或系列中所有实例的元数据。以下示例演示了如何检索实例的元数据。如需了解详情,请参阅 Cloud Healthcare API DICOM 一致性声明中的元数据资源

如需了解详情,请参阅 projects.locations.datasets.dicomStores.studies.series.instances.retrieveMetadata。调用 retrieveMetadata 时,该方法会返回使用 includefield=all 查询参数搜索实例时会返回的一组字段。如果您的应用对延迟敏感,并且您希望检索一组特定字段的元数据(而不是所有字段),请不要调用 retrieveMetadata。请改为调用其中一个 searchForInstances 方法并指定字段。响应将是一组较小的字段,而一组较小字段对于对延迟敏感的应用非常有用。

curl 命令

要检索已移除批量数据的实例元数据,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究唯一标识符 (UID)
  • 系列 UID
  • 实例 UID
  • 访问令牌

以下示例展示了使用 curlGET 请求。

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
     "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID/metadata"

如果请求成功,则响应将包含 JSON 格式的实例中 DICOM 属性的元数据。

[
  {
    "00020002": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    "00020003": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    "00020010": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    "00020012": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    "00020013": {
      "vr": "SH",
      "Value": [
        "OFFIS_DCMTK_"
      ]
    },
    "00080016": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    ...
]

PowerShell

要检索已移除批量数据的实例元数据,请发出 GET 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究唯一标识符 (UID)
  • 系列 UID
  • 实例 UID
  • 访问令牌

以下示例展示了使用 Windows PowerShell 的 GET 请求。

$cred = gcloud auth application-default print-access-token
$headers = @{ Authorization = "Bearer $cred" }

Invoke-RestMethod `
  -Method Get `
  -Headers $headers `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID/series/SERIES_UID/instances/INSTANCE_UID/metadata"

如果请求成功,则响应包含 JSON 格式的实例中 DICOM 属性的元数据:

[
  {
    "00020002": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    "00020003": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    "00020010": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    "00020012": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    "00020013": {
      "vr": "SH",
      "Value": [
        "OFFIS_DCMTK_"
      ]
    },
    "00080016": {
      "vr": "UI",
      "Value": [
        "UNIQUE_IDENTIFIER"
      ]
    },
    ...
]

使用 DICOMweb CLI

以下示例展示了如何使用 Cloud Healthcare API DICOMweb CLI 检索 DICOM 存储区中的所有实例并将其保存到当前工作目录的计算机中。DICOMweb CLI GitHub 代码库中提供了更多示例。

dcmweb \
  https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb \
  retrieve

如果请求成功,则服务器会返回类似于如下所示的响应,并且 DICOM 文件会写入您的计算机:

TIMESTAMP -- Saving files into ./
TIMESTAMP -- Transferred SIZE in COUNT files

删除研究、系列或实例

Cloud Healthcare API 实现了一项专有 Web 服务,用于删除 DICOM 研究、系列和实例。此服务不属于 DICOMweb 标准服务。如需了解详情,请参阅 Cloud Healthcare API DICOM 一致性声明中的删除事务

以下示例展示了如何删除 DICOM 研究。如需了解详情,请参阅 projects.locations.datasets.dicomStores.studies.delete

curl 命令

要删除 DICOM 研究,请发出 DELETE 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究的唯一标识符 (UID)
  • 访问令牌

以下示例展示了如何使用 curl 通过 DELETE 请求删除研究。

curl -X DELETE \
     -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
     "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID"

如果请求成功,服务器将以 JSON 格式返回空响应正文:

{}

PowerShell

要删除 DICOM 研究,请发出 DELETE 请求并指定以下信息:

  • 父数据集的名称
  • DICOM 存储区的名称
  • 研究的唯一标识符 (UID)
  • 访问令牌

以下示例展示了如何使用 Windows PowerShell 通过 DELETE 请求删除研究。

$cred = gcloud auth application-default print-access-token
$headers = @{ Authorization = "Bearer $cred" }

Invoke-WebRequest `
  -Method Delete `
  -Headers $headers `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb/studies/STUDY_UID" | Select-Object -Expand Content

如果请求成功,服务器将以 JSON 格式返回空响应正文:

{}

Go

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebDeleteStudy deletes all instances in the given dicomWebPath study.
func dicomWebDeleteStudy(w io.Writer, projectID, location, datasetID, dicomStoreID, dicomWebPath string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %v", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores.Studies

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	if _, err := storesService.Delete(parent, dicomWebPath).Do(); err != nil {
		return fmt.Errorf("Delete: %v", err)
	}

	fmt.Fprintf(w, "Deleted %q\n", dicomWebPath)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores.Studies;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DicomWebDeleteStudy {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final JsonFactory JSON_FACTORY = new JacksonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebDeleteStudy(String dicomStoreName, String studyId) throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
    // String studyId = "your-study-id";

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Studies.Delete request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .studies()
            .delete(dicomStoreName, "studies/" + studyId);

    // Execute the request and process the results.
    request.execute();
    System.out.println("DICOM study deleted.");
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const {google} = require('googleapis');
const healthcare = google.healthcare('v1');

const dicomWebDeleteStudy = async () => {
  const auth = await google.auth.getClient({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  });
  google.options({auth});

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  // const studyUid = '1.3.6.1.4.1.5062.55.1.2270943358.716200484.1363785608958.61.0';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = `studies/${studyUid}`;
  const request = {parent, dicomWebPath};

  await healthcare.projects.locations.datasets.dicomStores.studies.delete(
    request
  );
  console.log('Deleted DICOM study');
};

dicomWebDeleteStudy();

Python

def dicomweb_delete_study(
    base_url, project_id, cloud_region, dataset_id, dicom_store_id, study_uid
):
    """Handles DELETE requests equivalent to the GET requests specified in
    the WADO-RS standard.
    """
    url = "{}/projects/{}/locations/{}".format(base_url, project_id, cloud_region)

    dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/studies/{}".format(
        url, dataset_id, dicom_store_id, study_uid
    )

    # Make an authenticated API request
    session = get_session()

    headers = {"Content-Type": "application/dicom+json; charset=utf-8"}

    response = session.delete(dicomweb_path, headers=headers)
    response.raise_for_status()

    print("Deleted study.")

    return response

使用 DICOMweb CLI

以下示例演示了如何使用 Cloud Healthcare API DICOMweb CLI 删除研究:

dcmweb \
    https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID/dicomWeb \
   delete studies/STUDY_UID

如果请求成功,服务器将删除研究并不会返回响应。