HealthImaging examples using Amazon CLI - Amazon Command Line Interface
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HealthImaging examples using Amazon CLI

The following code examples show you how to perform actions and implement common scenarios by using the Amazon Command Line Interface with HealthImaging.

Actions are code excerpts from larger programs and must be run in context. While actions show you how to call individual service functions, you can see actions in context in their related scenarios and cross-service examples.

Scenarios are code examples that show you how to accomplish a specific task by calling multiple functions within the same service.

Each example includes a link to GitHub, where you can find instructions on how to set up and run the code in context.

Topics

Actions

The following code example shows how to use copy-image-set.

Amazon CLI

Example 1: To copy an image set without a destination.

The following copy-image-set code example makes a duplicate copy of an image set without a destination.

aws medical-imaging copy-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --source-image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --copy-image-set-information '{"sourceImageSet": {"latestVersionId": "1" } }'

Output:

{
    "destinationImageSetProperties": {
        "latestVersionId": "2",
        "imageSetWorkflowStatus": "COPYING",
        "updatedAt": 1680042357.432,
        "imageSetId": "b9a06fef182a5f992842f77f8e0868e5",
        "imageSetState": "LOCKED",
        "createdAt": 1680042357.432
    },
    "sourceImageSetProperties": {
        "latestVersionId": "1",
        "imageSetWorkflowStatus": "COPYING_WITH_READ_ONLY_ACCESS",
        "updatedAt": 1680042357.432,
        "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
        "imageSetState": "LOCKED",
        "createdAt": 1680027126.436
    },
    "datastoreId": "12345678901234567890123456789012"
}

Example 2: To copy an image set with a destination.

The following copy-image-set code example makes a duplicate copy of an image set with a destination.

aws medical-imaging copy-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --source-image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --copy-image-set-information '{"sourceImageSet": {"latestVersionId": "1" }, "destinationImageSet": { "imageSetId": "b9a06fef182a5f992842f77f8e0868e5", "latestVersionId": "1"} }'

Output:

{
    "destinationImageSetProperties": {
        "latestVersionId": "2",
        "imageSetWorkflowStatus": "COPYING",
        "updatedAt": 1680042505.135,
        "imageSetId": "b9a06fef182a5f992842f77f8e0868e5",
        "imageSetState": "LOCKED",
        "createdAt": 1680042357.432
    },
    "sourceImageSetProperties": {
        "latestVersionId": "1",
        "imageSetWorkflowStatus": "COPYING_WITH_READ_ONLY_ACCESS",
        "updatedAt": 1680042505.135,
        "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
        "imageSetState": "LOCKED",
        "createdAt": 1680027126.436
    },
    "datastoreId": "12345678901234567890123456789012"
}

For more information, see Copying an image set in the Amazon HealthImaging Developer Guide.

  • For API details, see CopyImageSet in Amazon CLI Command Reference.

The following code example shows how to use create-datastore.

Amazon CLI

To create a data store

The following create-datastore code example creates a data store with the name my-datastore.

aws medical-imaging create-datastore \
    --datastore-name "my-datastore"

Output:

{
    "datastoreId": "12345678901234567890123456789012",
    "datastoreStatus": "CREATING"
}

For more information, see Creating a data store in the Amazon HealthImaging Developer Guide.

The following code example shows how to use delete-datastore.

Amazon CLI

To delete a data store

The following delete-datastore code example deletes a data store.

aws medical-imaging delete-datastore \
    --datastore-id "12345678901234567890123456789012"

Output:

{
    "datastoreId": "12345678901234567890123456789012",
    "datastoreStatus": "DELETING"
}

For more information, see Deleting a data store in the Amazon HealthImaging Developer Guide.

The following code example shows how to use delete-image-set.

Amazon CLI

To delete an image set

The following delete-image-set code example deletes an image set.

aws medical-imaging delete-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e

Output:

{
    "imageSetWorkflowStatus": "DELETING",
    "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
    "imageSetState": "LOCKED",
    "datastoreId": "12345678901234567890123456789012"
}

For more information, see Deleting an image set in the Amazon HealthImaging Developer Guide.

  • For API details, see DeleteImageSet in Amazon CLI Command Reference.

The following code example shows how to use get-datastore.

Amazon CLI

To get a data store's properties

The following get-datastore code example gets a data store's properties.

aws medical-imaging get-datastore \
    --datastore-id 12345678901234567890123456789012

Output:

{
    "datastoreProperties": {
        "datastoreId": "12345678901234567890123456789012",
        "datastoreName": "TestDatastore123",
        "datastoreStatus": "ACTIVE",
        "datastoreArn": "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012",
        "createdAt": "2022-11-15T23:33:09.643000+00:00",
        "updatedAt": "2022-11-15T23:33:09.643000+00:00"
    }
}

For more information, see Getting data store properties in the Amazon HealthImaging Developer Guide.

  • For API details, see GetDatastore in Amazon CLI Command Reference.

The following code example shows how to use get-dicom-import-job.

Amazon CLI

To get a dicom import job's properties

The following get-dicom-import-job code example gets a dicom import job's properties.

aws medical-imaging get-dicom-import-job \
    --datastore-id "12345678901234567890123456789012" \
    --job-id "09876543210987654321098765432109"

Output:

{
    "jobProperties": {
        "jobId": "09876543210987654321098765432109",
        "jobName": "my-job",
        "jobStatus": "COMPLETED",
        "datastoreId": "12345678901234567890123456789012",
        "dataAccessRoleArn": "arn:aws:iam::123456789012:role/ImportJobDataAccessRole",
        "endedAt": "2022-08-12T11:29:42.285000+00:00",
        "submittedAt": "2022-08-12T11:28:11.152000+00:00",
        "inputS3Uri": "s3://medical-imaging-dicom-input/dicom_input/",
        "outputS3Uri": "s3://medical-imaging-output/job_output/12345678901234567890123456789012-DicomImport-09876543210987654321098765432109/"
    }
}

For more information, see Getting import job properties in the Amazon HealthImaging Developer Guide.

The following code example shows how to use get-image-frame.

Amazon CLI

To get image set pixel data

The following get-image-frame code example gets an image frame.

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

Note: This code example does not include output because the GetImageFrame action returns a stream of pixel data to the imageframe.jph file. For information about decoding and viewing image frames, see HTJ2K decoding libraries.

For more information, see Getting image set pixel data in the Amazon HealthImaging Developer Guide.

  • For API details, see GetImageFrame in Amazon CLI Command Reference.

The following code example shows how to use get-image-set-metadata.

Amazon CLI

Example 1: To get image set metadata without version

The following get-image-set-metadata code example gets metadata for an image set without specifying a version.

Note: outfile is a required parameter

aws medical-imaging get-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    studymetadata.json.gz

The returned metadata is compressed with gzip and stored in the studymetadata.json.gz file. To view the contents of the returned JSON object, you must first decompress it.

Output:

{
    "contentType": "application/json",
    "contentEncoding": "gzip"
}

Example 2: To get image set metadata with version

The following get-image-set-metadata code example gets metadata for an image set with a specified version.

Note: outfile is a required parameter

aws medical-imaging get-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --version-id 1 \
    studymetadata.json.gz

The returned metadata is compressed with gzip and stored in the studymetadata.json.gz file. To view the contents of the returned JSON object, you must first decompress it.

Output:

{
    "contentType": "application/json",
    "contentEncoding": "gzip"
}

For more information, see Getting image set metadata in the Amazon HealthImaging Developer Guide.

The following code example shows how to use get-image-set.

Amazon CLI

To get image set properties

The following get-image-set code example gets the properties for an image set.

aws medical-imaging get-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id 18f88ac7870584f58d56256646b4d92b \
    --version-id 1

Output:

{
    "versionId": "1",
    "imageSetWorkflowStatus": "COPIED",
    "updatedAt": 1680027253.471,
    "imageSetId": "18f88ac7870584f58d56256646b4d92b",
    "imageSetState": "ACTIVE",
    "createdAt": 1679592510.753,
    "datastoreId": "12345678901234567890123456789012"
}

For more information, see Getting image set properties in the Amazon HealthImaging Developer Guide.

  • For API details, see GetImageSet in Amazon CLI Command Reference.

The following code example shows how to use list-datastores.

Amazon CLI

To list data stores

The following list-datastores code example lists available data stores.

aws medical-imaging list-datastores

Output:

{
    "datastoreSummaries": [
        {
            "datastoreId": "12345678901234567890123456789012",
            "datastoreName": "TestDatastore123",
            "datastoreStatus": "ACTIVE",
            "datastoreArn": "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012",
            "createdAt": "2022-11-15T23:33:09.643000+00:00",
            "updatedAt": "2022-11-15T23:33:09.643000+00:00"
        }
    ]
}

For more information, see Listing data stores in the Amazon HealthImaging Developer Guide.

  • For API details, see ListDatastores in Amazon CLI Command Reference.

The following code example shows how to use list-dicom-import-jobs.

Amazon CLI

To list dicom import jobs

The following list-dicom-import-jobs code example lists dicom import jobs.

aws medical-imaging list-dicom-import-jobs \
    --datastore-id "12345678901234567890123456789012"

Output:

{
    "jobSummaries": [
        {
            "jobId": "09876543210987654321098765432109",
            "jobName": "my-job",
            "jobStatus": "COMPLETED",
            "datastoreId": "12345678901234567890123456789012",
            "dataAccessRoleArn": "arn:aws:iam::123456789012:role/ImportJobDataAccessRole",
            "endedAt": "2022-08-12T11:21:56.504000+00:00",
            "submittedAt": "2022-08-12T11:20:21.734000+00:00"
        }
    ]
}

For more information, see Listing import jobs in the Amazon HealthImaging Developer Guide.

The following code example shows how to use list-image-set-versions.

Amazon CLI

To list image set versions

The following list-image-set-versions code example lists the version history for an image set.

aws medical-imaging list-image-set-versions \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e

Output:

{
    "imageSetPropertiesList": [
        {
            "ImageSetWorkflowStatus": "UPDATED",
            "versionId": "4",
            "updatedAt": 1680029436.304,
            "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
            "imageSetState": "ACTIVE",
            "createdAt": 1680027126.436
        },
        {
            "ImageSetWorkflowStatus": "UPDATED",
            "versionId": "3",
            "updatedAt": 1680029163.325,
            "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
            "imageSetState": "ACTIVE",
            "createdAt": 1680027126.436
        },
        {
            "ImageSetWorkflowStatus": "COPY_FAILED",
            "versionId": "2",
            "updatedAt": 1680027455.944,
            "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
            "imageSetState": "ACTIVE",
            "message": "INVALID_REQUEST:  Series of SourceImageSet and DestinationImageSet don't match.",
            "createdAt": 1680027126.436
        },
        {
            "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
            "imageSetState": "ACTIVE",
            "versionId": "1",
            "ImageSetWorkflowStatus": "COPIED",
            "createdAt": 1680027126.436
        }
    ]
}

For more information, see Listing image set versions in the Amazon HealthImaging Developer Guide.

The following code example shows how to use list-tags-for-resource.

Amazon CLI

Example 1: To list resource tags for a data store

The following list-tags-for-resource code example lists tags for a data store.

aws medical-imaging list-tags-for-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012"

Output:

{
    "tags":{
        "Deployment":"Development"
    }
}

Example 2: To list resource tags for an image set

The following list-tags-for-resource code example lists tags for an image set.

aws medical-imaging list-tags-for-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/18f88ac7870584f58d56256646b4d92b"

Output:

{
    "tags":{
        "Deployment":"Development"
    }
}

For more information, see Tagging resources with Amazon HealthImaging in the Amazon HealthImaging Developer Guide.

The following code example shows how to use search-image-sets.

Amazon CLI

Example 1: To search image sets with an EQUAL operator

The following search-image-sets code example uses the EQUAL operator to search image sets based on a specific value.

aws medical-imaging search-image-sets \
    --datastore-id 12345678901234567890123456789012 \
    --search-criteria file://search-criteria.json

Contents of search-criteria.json

{
    "filters": [{
        "values": [{"DICOMPatientId" : "SUBJECT08701"}],
        "operator": "EQUAL"
    }]
}

Output:

{
    "imageSetsMetadataSummaries": [{
        "imageSetId": "09876543210987654321098765432109",
        "createdAt": "2022-12-06T21:40:59.429000+00:00",
        "version": 1,
        "DICOMTags": {
            "DICOMStudyId": "2011201407",
            "DICOMStudyDate": "19991122",
             "DICOMPatientSex": "F",
             "DICOMStudyInstanceUID": "1.2.840.99999999.84710745.943275268089",
             "DICOMPatientBirthDate": "19201120",
             "DICOMStudyDescription": "UNKNOWN",
             "DICOMPatientId": "SUBJECT08701",
             "DICOMPatientName": "Melissa844 Huel628",
             "DICOMNumberOfStudyRelatedInstances": 1,
             "DICOMStudyTime": "140728",
             "DICOMNumberOfStudyRelatedSeries": 1
            },
        "updatedAt": "2022-12-06T21:40:59.429000+00:00"
    }]
}

Example 2: To search image sets with a BETWEEN operator using DICOMStudyDate and DICOMStudyTime

The following search-image-sets code example searches for image sets with DICOM Studies generated between January 1, 1990 (12:00 AM) and January 1, 2023 (12:00 AM).

Note: DICOMStudyTime is optional. If it is not present, 12:00 AM (start of the day) is the time value for the dates provided for filtering.

aws medical-imaging search-image-sets \
    --datastore-id 12345678901234567890123456789012 \
    --search-criteria file://search-criteria.json

Contents of search-criteria.json

{
    "filters": [{
        "values": [{
            "DICOMStudyDateAndTime": {
                "DICOMStudyDate": "19900101",
                "DICOMStudyTime": "000000"
            }
        },
        {
            "DICOMStudyDateAndTime": {
                "DICOMStudyDate": "20230101",
                "DICOMStudyTime": "000000"
            }
        }],
        "operator": "BETWEEN"
    }]
}

Output:

{
    "imageSetsMetadataSummaries": [{
        "imageSetId": "09876543210987654321098765432109",
        "createdAt": "2022-12-06T21:40:59.429000+00:00",
        "version": 1,
        "DICOMTags": {
            "DICOMStudyId": "2011201407",
            "DICOMStudyDate": "19991122",
            "DICOMPatientSex": "F",
            "DICOMStudyInstanceUID": "1.2.840.99999999.84710745.943275268089",
            "DICOMPatientBirthDate": "19201120",
            "DICOMStudyDescription": "UNKNOWN",
            "DICOMPatientId": "SUBJECT08701",
            "DICOMPatientName": "Melissa844 Huel628",
            "DICOMNumberOfStudyRelatedInstances": 1,
            "DICOMStudyTime": "140728",
            "DICOMNumberOfStudyRelatedSeries": 1
        },
        "updatedAt": "2022-12-06T21:40:59.429000+00:00"
    }]
}

Example 3: To search image sets with a BETWEEN operator using createdAt (time studies were previously persisted)

The following search-image-sets code example searches for image sets with DICOM Studies persisted in HealthImaging between the time ranges in UTC time zone.

Note: Provide createdAt in example format ("1985-04-12T23:20:50.52Z").

aws medical-imaging search-image-sets \
    --datastore-id 12345678901234567890123456789012 \
    --search-criteria  file://search-criteria.json

Contents of search-criteria.json

{
    "filters": [{
        "values": [{
            "createdAt": "1985-04-12T23:20:50.52Z"
        },
        {
            "createdAt": "2022-04-12T23:20:50.52Z"
        }],
        "operator": "BETWEEN"
    }]
}

Output:

{
    "imageSetsMetadataSummaries": [{
        "imageSetId": "09876543210987654321098765432109",
        "createdAt": "2022-12-06T21:40:59.429000+00:00",
        "version": 1,
        "DICOMTags": {
            "DICOMStudyId": "2011201407",
            "DICOMStudyDate": "19991122",
            "DICOMPatientSex": "F",
            "DICOMStudyInstanceUID": "1.2.840.99999999.84710745.943275268089",
            "DICOMPatientBirthDate": "19201120",
            "DICOMStudyDescription": "UNKNOWN",
            "DICOMPatientId": "SUBJECT08701",
            "DICOMPatientName": "Melissa844 Huel628",
            "DICOMNumberOfStudyRelatedInstances": 1,
            "DICOMStudyTime": "140728",
            "DICOMNumberOfStudyRelatedSeries": 1
        },
        "lastUpdatedAt": "2022-12-06T21:40:59.429000+00:00"
    }]
}

Example 4: To search image sets with an EQUAL operator on DICOMSeriesInstanceUID and BETWEEN on updatedAt and sort response in ASC order on updatedAt field

The following search-image-sets code example searches for image sets with an EQUAL operator on DICOMSeriesInstanceUID and BETWEEN on updatedAt and sort response in ASC order on updatedAt field.

Note: Provide updatedAt in example format ("1985-04-12T23:20:50.52Z").

aws medical-imaging search-image-sets \
    --datastore-id 12345678901234567890123456789012 \
    --search-criteria  file://search-criteria.json

Contents of search-criteria.json

{
    "filters": [{
        "values": [{
            "updatedAt": "2024-03-11T15:00:05.074000-07:00"
        }, {
            "updatedAt": "2024-03-11T16:00:05.074000-07:00"
        }],
        "operator": "BETWEEN"
    }, {
        "values": [{
            "DICOMSeriesInstanceUID": "1.2.840.99999999.84710745.943275268089"
        }],
        "operator": "EQUAL"
    }],
    "sort": {
        "sortField": "updatedAt",
        "sortOrder": "ASC"
    }
}

Output:

{
    "imageSetsMetadataSummaries": [{
        "imageSetId": "09876543210987654321098765432109",
        "createdAt": "2022-12-06T21:40:59.429000+00:00",
        "version": 1,
        "DICOMTags": {
            "DICOMStudyId": "2011201407",
            "DICOMStudyDate": "19991122",
            "DICOMPatientSex": "F",
            "DICOMStudyInstanceUID": "1.2.840.99999999.84710745.943275268089",
            "DICOMPatientBirthDate": "19201120",
            "DICOMStudyDescription": "UNKNOWN",
            "DICOMPatientId": "SUBJECT08701",
            "DICOMPatientName": "Melissa844 Huel628",
            "DICOMNumberOfStudyRelatedInstances": 1,
            "DICOMStudyTime": "140728",
            "DICOMNumberOfStudyRelatedSeries": 1
        },
        "lastUpdatedAt": "2022-12-06T21:40:59.429000+00:00"
    }]
}

For more information, see Searching image sets in the Amazon HealthImaging Developer Guide.

The following code example shows how to use start-dicom-import-job.

Amazon CLI

To start a dicom import job

The following start-dicom-import-job code example starts a dicom import job.

aws medical-imaging start-dicom-import-job \
    --job-name "my-job" \
    --datastore-id "12345678901234567890123456789012" \
    --input-s3-uri "s3://medical-imaging-dicom-input/dicom_input/" \
    --output-s3-uri "s3://medical-imaging-output/job_output/" \
    --data-access-role-arn "arn:aws:iam::123456789012:role/ImportJobDataAccessRole"

Output:

{
    "datastoreId": "12345678901234567890123456789012",
    "jobId": "09876543210987654321098765432109",
    "jobStatus": "SUBMITTED",
    "submittedAt": "2022-08-12T11:28:11.152000+00:00"
}

For more information, see Starting an import job in the Amazon HealthImaging Developer Guide.

The following code example shows how to use tag-resource.

Amazon CLI

Example 1: To tag a data store

The following tag-resource code examples tags a data store.

aws medical-imaging tag-resource \
  --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012" \
  --tags '{"Deployment":"Development"}'

This command produces no output.

Example 2: To tag an image set

The following tag-resource code examples tags an image set.

aws medical-imaging tag-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/18f88ac7870584f58d56256646b4d92b" \
    --tags '{"Deployment":"Development"}'

This command produces no output.

For more information, see Tagging resources with Amazon HealthImaging in the Amazon HealthImaging Developer Guide.

  • For API details, see TagResource in Amazon CLI Command Reference.

The following code example shows how to use untag-resource.

Amazon CLI

Example 1: To untag a data store

The following untag-resource code example untags a data store.

aws medical-imaging untag-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012" \
    --tag-keys '["Deployment"]'

This command produces no output.

Example 2: To untag an image set

The following untag-resource code example untags an image set.

aws medical-imaging untag-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/18f88ac7870584f58d56256646b4d92b" \
    --tag-keys '["Deployment"]'

This command produces no output.

For more information, see Tagging resources with Amazon HealthImaging in the Amazon HealthImaging Developer Guide.

  • For API details, see UntagResource in Amazon CLI Command Reference.

The following code example shows how to use update-image-set-metadata.

Amazon CLI

To insert or update an attribute in image set metadata

The following update-image-set-metadata code example inserts or updates an attribute in image set metadata.

aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --latest-version-id 1 \
    --update-image-set-metadata-updates file://metadata-updates.json

Contents of metadata-updates.json

{
    "DICOMUpdates": {
        "updatableAttributes": "eyJTY2hlbWFWZXJzaW9uIjoxLjEsIlBhdGllbnQiOnsiRElDT00iOnsiUGF0aWVudE5hbWUiOiJNWF5NWCJ9fX0="
    }
}

Note: updatableAttributes is a Base64 encoded JSON string. Here is the unencoded JSON string.

{"SchemaVersion":1.1,"Patient":{"DICOM":{"PatientName":"MX^MX"}}}

Output:

{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}

To remove an attribute from image set metadata

The following update-image-set-metadata code example removes an attribute from image set metadata.

aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --latest-version-id 1 \
    --update-image-set-metadata-updates file://metadata-updates.json

Contents of metadata-updates.json

{
    "DICOMUpdates": {
        "removableAttributes": "e1NjaGVtYVZlcnNpb246MS4xLFN0dWR5OntESUNPTTp7U3R1ZHlEZXNjcmlwdGlvbjpDSEVTVH19fQo="
    }
}

Note: removableAttributes is a Base64 encoded JSON string. Here is the unencoded JSON string. The key and value must match the attribute to be removed.

{"SchemaVersion":1.1,"Study":{"DICOM":{"StudyDescription":"CHEST"}}}

Output:

{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}

To remove an instance from image set metadata

The following update-image-set-metadata code example removes an instance from image set metadata.

aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --latest-version-id 1 \
    --update-image-set-metadata-updates file://metadata-updates.json

Contents of metadata-updates.json

{
    "DICOMUpdates": {
        "removableAttributes": "eezEuMS4xLjEuMS4xLjEyMzQ1LjEyMzQ1Njc4OTAxMi4xMjMuMTIzNDU2Nzg5MDEyMzQuMTp7SW5zdGFuY2VzOnsxLjEuMS4xLjEuMS4xMjM0NS4xMjM0NTY3ODkwMTIuMTIzLjEyMzQ1Njc4OTAxMjM0LjE6e319fX19fQo="
    }
}

Note: removableAttributes is a Base64 encoded JSON string. Here is the unencoded JSON string.

{"1.1.1.1.1.1.12345.123456789012.123.12345678901234.1":{"Instances":{"1.1.1.1.1.1.12345.123456789012.123.12345678901234.1":{}}}}}}

Output:

{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}

For more information, see Updating image set metadata in the Amazon HealthImaging Developer Guide.