GetImageFrame 搭配 a AWS SDK 或 CLI 使用

//! Routine which downloads an AWS HealthImaging image frame.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param imageSetID: The image set ID.
  \param frameID: The image frame ID.
  \param jphFile: File to store the downloaded frame.
  \param clientConfig: Aws client configuration.
  \return bool: Function succeeded.
*/
bool AwsDoc::Medical_Imaging::getImageFrame(const Aws::String &dataStoreID,
                                            const Aws::String &imageSetID,
                                            const Aws::String &frameID,
                                            const Aws::String &jphFile,
                                            const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::MedicalImagingClient client(clientConfig);

    Aws::MedicalImaging::Model::GetImageFrameRequest request;
    request.SetDatastoreId(dataStoreID);
    request.SetImageSetId(imageSetID);

    Aws::MedicalImaging::Model::ImageFrameInformation imageFrameInformation;
    imageFrameInformation.SetImageFrameId(frameID);
    request.SetImageFrameInformation(imageFrameInformation);

    Aws::MedicalImaging::Model::GetImageFrameOutcome outcome = client.GetImageFrame(
            request);

    if (outcome.IsSuccess()) {
        std::cout << "Successfully retrieved image frame." << std::endl;
        auto &buffer = outcome.GetResult().GetImageFrameBlob();

        std::ofstream outfile(jphFile, std::ios::binary);
        outfile << buffer.rdbuf();
    }
    else {
        std::cout << "Error retrieving image frame." << outcome.GetError().GetMessage()
                  << std::endl;

    }

    return outcome.IsSuccess();
}

若要取得影像集像素資料

下列get-image-frame程式碼範例會取得影像影格。

aws medical-imaging get-image-frame \
    --datastore-id "12345678901234567890123456789012" \
    --image-set-id "98765412345612345678907890789012" \
    --image-frame-information imageFrameId=3abf5d5d7ae72f80a0ec81b2c0de3ef4 \
    imageframe.jph

注意：此程式碼範例不包含輸出，因為 GetImageFrame 動作會將像素資料串流傳回 imageframe.jph 檔案。如需有關解碼和檢視影像影格的資訊，請參閱 HTJ2K 解碼程式庫。

如需詳細資訊，請參閱 AWS HealthImaging 開發人員指南中的取得映像集像素資料。

        public static void getMedicalImageSetFrame(MedicalImagingClient medicalImagingClient,
                        String destinationPath,
                        String datastoreId,
                        String imagesetId,
                        String imageFrameId) {

                try {
                        GetImageFrameRequest getImageSetMetadataRequest = GetImageFrameRequest.builder()
                                        .datastoreId(datastoreId)
                                        .imageSetId(imagesetId)
                                        .imageFrameInformation(ImageFrameInformation.builder()
                                                        .imageFrameId(imageFrameId)
                                                        .build())
                                        .build();
                        medicalImagingClient.getImageFrame(getImageSetMetadataRequest,
                                        FileSystems.getDefault().getPath(destinationPath));

                        System.out.println("Image frame downloaded to " + destinationPath);
                } catch (MedicalImagingException e) {
                        System.err.println(e.awsErrorDetails().errorMessage());
                        System.exit(1);
                }
        }

import { GetImageFrameCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} imageFrameFileName - The name of the file for the HTJ2K-encoded image frame.
 * @param {string} datastoreID - The data store's ID.
 * @param {string} imageSetID - The image set's ID.
 * @param {string} imageFrameID - The image frame's ID.
 */
export const getImageFrame = async (
  imageFrameFileName = "image.jph",
  datastoreID = "DATASTORE_ID",
  imageSetID = "IMAGE_SET_ID",
  imageFrameID = "IMAGE_FRAME_ID",
) => {
  const response = await medicalImagingClient.send(
    new GetImageFrameCommand({
      datastoreId: datastoreID,
      imageSetId: imageSetID,
      imageFrameInformation: { imageFrameId: imageFrameID },
    }),
  );
  const buffer = await response.imageFrameBlob.transformToByteArray();
  writeFileSync(imageFrameFileName, buffer);

  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: 'e4ab42a5-25a3-4377-873f-374ecf4380e1',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     contentType: 'application/octet-stream',
  //     imageFrameBlob: <ref *1> IncomingMessage {}
  // }
  return response;
};

class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def get_pixel_data(
        self, file_path_to_write, datastore_id, image_set_id, image_frame_id
    ):
        """
        Get an image frame's pixel data.

        :param file_path_to_write: The path to write the image frame's HTJ2K encoded pixel data.
        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param image_frame_id: The ID of the image frame.
        """
        try:
            image_frame = self.health_imaging_client.get_image_frame(
                datastoreId=datastore_id,
                imageSetId=image_set_id,
                imageFrameInformation={"imageFrameId": image_frame_id},
            )
            with open(file_path_to_write, "wb") as f:
                for chunk in image_frame["imageFrameBlob"].iter_chunks():
                    if chunk:
                        f.write(chunk)
        except ClientError as err:
            logger.error(
                "Couldn't get image frame. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise

下列程式碼會實例化 MedicalImagingWrapper 物件。

    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)