Importing and exporting DICOM data using Cloud Storage

This page explains how to export DICOM instances to and import DICOM objects from Cloud Storage. A DICOM instance is typically an image, but can be another type of persistent data such as a structured report. A Cloud Storage object is a DICOM instance that resides in Cloud Storage.

You can import and export bulk data between a Cloud Storage bucket and a DICOM store. For example, you might have many DICOM instance files that you want to import into a DICOM store. Rather than programmatically storing the data directly, you can store the data in a Cloud Storage bucket and then import the files into a DICOM store using a single import operation. For more information, see Cloud Storage.

To store a DICOM instance directly, such as from your local machine, you can store the DICOM data using the Store Transaction RESTful web service as implemented in the Cloud Healthcare API. To retrieve a single instance or study from a DICOM store, you can retrieve DICOM data using the Retrieve Transaction RESTful web service as implemented in the Cloud Healthcare API.

Setting Cloud Storage permissions

Before exporting and importing DICOM data to and from Cloud Storage, you must grant extra permissions to the Cloud Healthcare Service Agent service account. For more information, see DICOM store Cloud Storage permissions.

Importing DICOM objects

The following samples show how to import DICOM objects from a Cloud Storage bucket.

Console

To import DICOM objects from a Cloud Storage bucket, complete the following steps:

  1. In the Cloud Console, go to the Datasets page.

    Go to the Datasets page

  2. Click the dataset for which you are importing DICOM objects.

  3. In the list of DICOM stores, choose Import from the Actions list.

    The Import to DICOM store page appears.

  4. In the Project list, select a Cloud Storage project.

  5. In the Location list, select a Cloud Storage bucket.

  6. To set a specific location for importing files, do the following:

    1. Expand Advanced Options.
    2. Select Override Cloud Storage Path.
    3. To set a specific source for importing files, define the path using the following variables in the Location text box:
      • * - matches non-separator characters.
      • ** - matches characters, including separators. This can be used with a file name extension to match all files of the same type.
      • ? - matches 1 character.

  7. Click Import to import DICOM objects from the defined source.

gcloud

To import DICOM objects from a Cloud Storage bucket, use the gcloud healthcare dicom-stores import gcs command. Specify the name of the parent dataset, the name of the DICOM store, and the location of the object in a Cloud Storage bucket.

  • The location of the files within the bucket is arbitrary and does not have to adhere exactly to the format specified in the following sample.
  • When specifying the location of the DICOM objects in Cloud Storage, you can use wildcards to import multiple files from one or more directories. The following wildcards are supported:
    • Use * to match 0 or more non-separator characters. For example, gs://BUCKET/DIRECTORY/Example*.dcm matches Example.dcm and Example22.dcm in DIRECTORY.
    • Use ** to match 0 or more characters (including separators). Must be used at the end of a path and with no other wildcards in the path. Can also be used with a filename extension (such as .dcm), which imports all files with the filename extension in the specified directory and its subdirectories. For example, gs://BUCKET/DIRECTORY/**.dcm imports all files with the .dcm filename extension in DIRECTORY and its subdirectories.
    • Use ? to match 1 character. For example, gs://BUCKET/DIRECTORY/Example?.dcm matches Example1.dcm but does not match Example.dcm or Example01.dcm.

The following sample shows how to import DICOM objects from a Cloud Storage bucket.

gcloud healthcare dicom-stores import gcs DICOM_STORE_ID \
  --dataset=DATASET_ID \
  --location=LOCATION \
  --gcs-uri=gs://BUCKET/DIRECTORY/DICOM_INSTANCE.dcm

The command line displays the operation ID:

name: projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID

To view the status of the operation, run the gcloud healthcare operations describe command, providing the OPERATION_ID from the response:

gcloud healthcare operations describe OPERATION_ID \
  --location=LOCATION \
  --dataset=DATASET_ID

After the command completes, the response includes done: true.

done: true
metadata:
'@type': type.googleapis.com/google.cloud.healthcare.v1.OperationMetadata
apiMethodName: google.cloud.healthcare.v1.dicom.DicomService.ImportDicomData
counter:
  success: SUCCESSFUL_INSTANCES
  failure: FAILED_INSTANCES
createTime: "CREATE_TIME"
endTime: "END_TIME"
name: projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID
response:
'@type': "..."

API

To import DICOM objects from a Cloud Storage bucket, use the projects.locations.datasets.dicomStores.import method.

  • The location of the files within the bucket is arbitrary and does not have to adhere exactly to the format specified in the following samples.
  • When specifying the location of the DICOM objects in Cloud Storage, you can use wildcards to import multiple files from one or more directories. The following wildcards are supported:
    • Use * to match 0 or more non-separator characters. For example, gs://BUCKET/DIRECTORY/Example*.dcm matches Example.dcm and Example22.dcm in DIRECTORY.
    • Use ** to match 0 or more characters (including separators). Must be used at the end of a path and with no other wildcards in the path. Can also be used with a filename extension (such as .dcm), which imports all files with the filename extension in the specified directory and its subdirectories. For example, gs://BUCKET/DIRECTORY/**.dcm imports all files with the .dcm filename extension in DIRECTORY and its subdirectories.
    • Use ? to match 1 character. For example, gs://BUCKET/DIRECTORY/Example?.dcm matches Example1.dcm but does not match Example.dcm or Example01.dcm.

curl

To import DICOM objects, make a POST request and provide the name of the parent dataset, the name of the DICOM store, the location of the object in a Cloud Storage bucket, and an access token.

The following sample shows a POST request using curl.

curl -X POST \
    -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
    -H "Content-Type: application/json; charset=utf-8" \
    --data "{
      'gcsSource': {
        'uri': 'gs://BUCKET/*.dcm'
      }
    }" "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID:import"

If the request is successful, the server returns the response in JSON format:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID"
}

The response contains an operation name. To track the status of the operation, you can use the Operation get method:

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/operations/OPERATION_ID"

If the request is successful, the server returns a response with the status of the operation in JSON format:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.healthcare.v1.OperationMetadata",
    "apiMethodName": "google.cloud.healthcare.v1.dicom.DicomService.ImportDicomData",
    "createTime": "CREATE_TIME",
    "endTime": "END_TIME",
    "logsUrl": "https://console.cloud.google.com/logs/viewer/CLOUD_LOGGING_URL",
    "counter": {
       "success": SUCCESSFUL_INSTANCES
       "failure": FAILED_INSTANCES
    },
  },
  "done": true,
  "response": {
    "@type": "..."
  }
}

PowerShell

To import DICOM objects, make a POST request and provide the name of the parent dataset, the name of the DICOM store, the location of the object in a Cloud Storage bucket, and an access token.

The following sample shows a POST request using Windows PowerShell.

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

Invoke-WebRequest `
  -Method Post `
  -Headers $headers `
  -ContentType: "application/json; charset=utf-8" `
  -Body "{
    'gcsSource': {
      'uri': 'gs://BUCKET/*.dcm'
    }
  }" `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID:import" | Select-Object -Expand Content

If the request is successful, the server returns the response in JSON format:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID"
}

The response contains an operation name. To track the status of the operation, you can use the Operation get method:

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

Invoke-WebRequest `
  -Method Get `
  -Headers $headers `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID" | Select-Object -Expand Content

If the request is successful, the server returns a response with the status of the operation in JSON format:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.healthcare.v1.OperationMetadata",
    "apiMethodName": "google.cloud.healthcare.v1.dicom.DicomService.ImportDicomData",
    "createTime": "CREATE_TIME",
    "endTime": "END_TIME",
    "logsUrl": "https://console.cloud.google.com/logs/viewer/CLOUD_LOGGING_URL",
    "counter":{
       "success": SUCCESSFUL_INSTANCES
       "failure": FAILED_INSTANCES
    }
  },
  "done": true,
  "response": {
    "@type": "..."
  }
}

Go

import (
	"context"
	"fmt"
	"io"

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

// importDICOMInstance imports DICOM objects from GCS.
func importDICOMInstance(w io.Writer, projectID, location, datasetID, dicomStoreID, contentURI 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

	req := &healthcare.ImportDicomDataRequest{
		GcsSource: &healthcare.GoogleCloudHealthcareV1DicomGcsSource{
			Uri: contentURI,
		},
	}
	name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	lro, err := storesService.Import(name, req).Do()
	if err != nil {
		return fmt.Errorf("Import: %v", err)
	}

	fmt.Fprintf(w, "Import to DICOM store started. Operation: %q\n", lro.Name)
	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;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.GoogleCloudHealthcareV1DicomGcsSource;
import com.google.api.services.healthcare.v1.model.ImportDicomDataRequest;
import com.google.api.services.healthcare.v1.model.Operation;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DicomStoreImport {
  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 dicomStoreImport(String dicomStoreName, String gcsUri) throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
    // String gcsUri = "gs://your-bucket-id/path/to/destination/dir"

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

    // Configure where the store should be imported from.
    GoogleCloudHealthcareV1DicomGcsSource gcsSource =
        new GoogleCloudHealthcareV1DicomGcsSource().setUri(gcsUri);
    ImportDicomDataRequest importRequest = new ImportDicomDataRequest().setGcsSource(gcsSource);

    // Create request and configure any parameters.
    DicomStores.CloudHealthcareImport request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .healthcareImport(dicomStoreName, importRequest);

    // Execute the request, wait for the operation to complete, and process the results.
    try {
      Operation operation = request.execute();
      while (operation.getDone() == null || !operation.getDone()) {
        // Update the status of the operation with another request.
        Thread.sleep(500); // Pause for 500ms between requests.
        operation =
            client
                .projects()
                .locations()
                .datasets()
                .operations()
                .get(operation.getName())
                .execute();
      }
      System.out.println("DICOM store import complete." + operation.getResponse());
    } catch (Exception ex) {
      System.out.printf("Error during request execution: %s", ex.toString());
      ex.printStackTrace(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();
  }
}

Node.js

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

const importDicomInstance = 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 gcsUri = 'my-bucket/my-directory/*.dcm'
  const name = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const request = {
    name,
    resource: {
      // The location of the DICOM instances in Cloud Storage
      gcsSource: {
        uri: `gs://${gcsUri}`,
      },
    },
  };

  const operation = await healthcare.projects.locations.datasets.dicomStores.import(
    request
  );
  const operationName = operation.data.name;

  const operationRequest = {name: operationName};

  // Wait fifteen seconds for the LRO to finish.
  await sleep(15000);

  // Check the LRO's status
  const operationStatus = await healthcare.projects.locations.datasets.operations.get(
    operationRequest
  );

  const {data} = operationStatus;

  if (data.error === undefined) {
    console.log('Successfully imported DICOM instances');
  } else {
    console.log('Encountered errors. Sample error:');
    console.log(
      'Resource on which error occured:',
      data.error.details[0]['sampleErrors'][0]['resource']
    );
    console.log(
      'Error code:',
      data.error.details[0]['sampleErrors'][0]['error']['code']
    );
    console.log(
      'Error message:',
      data.error.details[0]['sampleErrors'][0]['error']['message']
    );
  }
};

importDicomInstance();

Python

def import_dicom_instance(
    project_id, cloud_region, dataset_id, dicom_store_id, content_uri
):
    """Import data into the DICOM store by copying it from the specified
    source.
    """
    client = get_client()
    dicom_store_parent = "projects/{}/locations/{}/datasets/{}".format(
        project_id, cloud_region, dataset_id
    )
    dicom_store_name = "{}/dicomStores/{}".format(dicom_store_parent, dicom_store_id)

    body = {"gcsSource": {"uri": "gs://{}".format(content_uri)}}

    # Escape "import()" method keyword because "import"
    # is a reserved keyword in Python
    request = (
        client.projects()
        .locations()
        .datasets()
        .dicomStores()
        .import_(name=dicom_store_name, body=body)
    )

    response = request.execute()
    print("Imported DICOM instance: {}".format(content_uri))

    return response

Troubleshooting DICOM import requests

If errors occur during a DICOM import request, the errors are logged to Cloud Logging. For more information, see Viewing error logs in Cloud Logging.

Exporting DICOM instances

The following samples show how to export DICOM instances to a Cloud Storage bucket. When you export DICOM instances from a DICOM store, all instances in the store are exported.

Console

To export DICOM instances to Cloud Storage, complete the following steps:

  1. In the Cloud Console, go to the Datasets page.

    Go to the Datasets page

  2. Click the dataset for which you are exporting DICOM instances.

  3. In the list of DICOM stores, choose Export from the Actions list.

    The Export DICOM Store page displays.

  4. Select Google Cloud Storage Bucket.

  5. In the Project list, select a Cloud Storage project.

  6. In the Location list, select a Cloud Storage bucket.

  7. In DICOM Export Settings, select the file type used to export the DICOM instances. The following types are available:

    • DICOM file (.dcm)
    • octet-stream
    • Image (.jpg, .png)

  8. To define additional transfer syntax, choose the syntax from the Transfer Syntax list.

  9. Click Export to export DICOM instances to the defined location in Cloud Storage.

gcloud

To export DICOM instances to a Cloud Storage bucket, use the gcloud healthcare dicom-stores export gcs command.

  • Provide the name of the parent dataset, the name of the DICOM store, and the destination Cloud Storage bucket.
  • Write to a Cloud Storage bucket or directory, rather than an object, because the Cloud Healthcare API creates one .dcm file for each object.
  • If the command specifies a directory that does not exist, the directory is created.

The following sample shows the gcloud healthcare dicom-stores export gcs command.

gcloud healthcare dicom-stores export gcs DICOM_STORE_ID \
  --dataset=DATASET_ID \
  --location=LOCATION \
  --gcs-uri-prefix=gs://BUCKET/DIRECTORY

The command line displays the operation ID:

name: projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID

To view the status of the operation, run the gcloud healthcare operations describe command, providing the OPERATION_ID from the response:

gcloud healthcare operations describe OPERATION_ID \
  --location=LOCATION \
  --dataset=DATASET_ID

After the command completes, the response includes done: true.

done: true
metadata:
'@type': type.googleapis.com/google.cloud.healthcare.v1.OperationMetadata
apiMethodName: google.cloud.healthcare.v1.dicom.DicomService.ExportDicomData
counter:
  success: SUCCESSFUL_INSTANCES
  failure: FAILED_INSTANCES
createTime: "CREATE_TIME"
endTime: "END_TIME"
name: projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID
response:
'@type': "..."

API

To export DICOM instances to a Cloud Storage bucket, use the projects.locations.datasets.dicomStores.export method.

  • Write to a Cloud Storage bucket or directory, rather than an object, because the Cloud Healthcare API creates one .dcm file for each DICOM object.
  • If the command specifies a directory that does not exist, the directory is created.

curl

To export DICOM instances, make a POST request and provide the name of the parent dataset, the name of the DICOM store, the destination Cloud Storage bucket, and an access token.

The following sample shows a POST request using curl.

curl -X POST \
    -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
    -H "Content-Type: application/json; charset=utf-8" \
    --data "{
      'gcsDestination': {
        'uriPrefix': 'gs://BUCKET/DIRECTORY'
      }
    }" "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID:export"

If the request is successful, the server returns the response in JSON format:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID"
}

The response contains an operation name. To track the status of the operation, you can use the Operation get method:

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/operations/OPERATION_ID"

If the request is successful, the server returns a response with the status of the operation in JSON format:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.healthcare.v1.OperationMetadata",
    "apiMethodName": "google.cloud.healthcare.v1.dicom.DicomService.ExportDicomData",
    "createTime": "CREATE_TIME",
    "endTime": "END_TIME",
    "logsUrl": "https://console.cloud.google.com/logs/viewer/CLOUD_LOGGING_URL",
    "counter":{
       "success": SUCCESSFUL_INSTANCES
       "failure": FAILED_INSTANCES
    }
  },
  "done": true,
  "response": {
    "@type": "..."
  }
}

PowerShell

To export DICOM instances, make a POST request and provide the name of the parent dataset, the name of the DICOM store, the destination Cloud Storage bucket, and an access token.

The following sample shows a POST request using Windows PowerShell.

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

Invoke-WebRequest `
  -Method Post `
  -Headers $headers `
  -ContentType: "application/json; charset=utf-8" `
  -Body "{
    'gcsDestination': {
      'uriPrefix': 'gs://BUCKET/DIRECTORY'
    }
  }" `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/dicomStores/DICOM_STORE_ID:export" | Select-Object -Expand Content

If the request is successful, the server returns the response in JSON format:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID"
}

The response contains an operation name. To track the status of the operation, you can use the Operation get method:

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

Invoke-WebRequest `
  -Method Get `
  -Headers $headers `
  -Uri "https://healthcare.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID" | Select-Object -Expand Content

If the request is successful, the server returns a response with the status of the operation in JSON format:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/datasets/DATASET_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.healthcare.v1.OperationMetadata",
    "apiMethodName": "google.cloud.healthcare.v1.dicom.DicomService.ExportDicomData",
    "createTime": "CREATE_TIME",
    "endTime": "END_TIME",
    "logsUrl": "https://console.cloud.google.com/logs/viewer/CLOUD_LOGGING_URL",
    "counter":{
       "success": SUCCESSFUL_INSTANCES
       "failure": FAILED_INSTANCES
    },
  },
  "done": true,
  "response": {
    "@type": "..."
  }
}

Go

import (
	"context"
	"fmt"
	"io"

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

// exportDICOMInstance exports DICOM objects to GCS.
func exportDICOMInstance(w io.Writer, projectID, location, datasetID, dicomStoreID, destination 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

	req := &healthcare.ExportDicomDataRequest{
		GcsDestination: &healthcare.GoogleCloudHealthcareV1DicomGcsDestination{
			UriPrefix: destination, // "gs://my-bucket/path/to/prefix/"
		},
	}
	name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	lro, err := storesService.Export(name, req).Do()
	if err != nil {
		return fmt.Errorf("Export: %v", err)
	}

	fmt.Fprintf(w, "Export to DICOM store started. Operation: %q\n", lro.Name)
	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;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.ExportDicomDataRequest;
import com.google.api.services.healthcare.v1.model.GoogleCloudHealthcareV1DicomGcsDestination;
import com.google.api.services.healthcare.v1.model.Operation;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DicomStoreExport {
  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 dicomStoreExport(String dicomStoreName, String gcsUri) throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
    // String gcsUri = "gs://your-bucket-id/path/to/destination/dir"

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

    // Configure where the store will be exported too.
    GoogleCloudHealthcareV1DicomGcsDestination gcsDestination =
        new GoogleCloudHealthcareV1DicomGcsDestination().setUriPrefix(gcsUri);
    ExportDicomDataRequest exportRequest =
        new ExportDicomDataRequest().setGcsDestination(gcsDestination);

    // Create request and configure any parameters.
    DicomStores.Export request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .export(dicomStoreName, exportRequest);

    // Execute the request, wait for the operation to complete, and process the results.
    try {
      Operation operation = request.execute();
      while (operation.getDone() == null || !operation.getDone()) {
        // Update the status of the operation with another request.
        Thread.sleep(500); // Pause for 500ms between requests.
        operation =
            client
                .projects()
                .locations()
                .datasets()
                .operations()
                .get(operation.getName())
                .execute();
      }
      System.out.println("DICOM store export complete." + operation.getResponse());
    } catch (Exception ex) {
      System.out.printf("Error during request execution: %s", ex.toString());
      ex.printStackTrace(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();
  }
}

Node.js

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

const exportDicomInstanceGcs = 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 gcsUri = 'my-bucket/my-directory'
  const name = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const request = {
    name,
    resource: {
      gcsDestination: {
        // The destination location of the DICOM instances in Cloud Storage
        uriPrefix: `gs://${gcsUri}`,
        // The format to use for the output files, per the MIME types supported in the DICOM spec
        mimeType: 'application/dicom',
      },
    },
  };

  await healthcare.projects.locations.datasets.dicomStores.export(request);
  console.log(`Exported DICOM instances to ${gcsUri}`);
};

exportDicomInstanceGcs();

Python

def export_dicom_instance(
    project_id, cloud_region, dataset_id, dicom_store_id, uri_prefix
):
    """Export data to a Google Cloud Storage bucket by copying
    it from the DICOM store."""
    client = get_client()
    dicom_store_parent = "projects/{}/locations/{}/datasets/{}".format(
        project_id, cloud_region, dataset_id
    )
    dicom_store_name = "{}/dicomStores/{}".format(dicom_store_parent, dicom_store_id)

    body = {"gcsDestination": {"uriPrefix": "gs://{}".format(uri_prefix)}}

    request = (
        client.projects()
        .locations()
        .datasets()
        .dicomStores()
        .export(name=dicom_store_name, body=body)
    )

    response = request.execute()
    print("Exported DICOM instances to bucket: gs://{}".format(uri_prefix))

    return response

Troubleshooting DICOM export requests

If errors occur during a DICOM export request, the errors are logged to Cloud Logging. For more information, see Viewing error logs in Cloud Logging.