HealthImaging code examples for the SDK for Python

Overview

Shows how to use the AWS SDK for Python (Boto3) to work with AWS HealthImaging.

HealthImaging is a HIPAA-eligible service that helps health care providers and their medical imaging ISV partners store, transform, and apply machine learning to medical images.

⚠ Important

• Running this code might result in charges to your AWS account. For more details, see AWS Pricing and Free Tier.
• Running the tests might result in charges to your AWS account.
• We recommend that you grant your code least privilege. At most, grant only the minimum permissions required to perform the task. For more information, see Grant least privilege.
• This code is not tested in every AWS Region. For more information, see AWS Regional Services.

Code examples

Prerequisites

For prerequisites, see the README in the python folder.

Install the packages required by these examples by running the following in a virtual environment:

python -m pip install -r requirements.txt

Get started

• Hello HealthImaging (ListDatastores)

Single actions

Code excerpts that show you how to call individual service functions.

• CopyImageSet
• CreateDatastore
• DeleteDatastore
• DeleteImageSet
• GetDICOMImportJob
• GetDatastore
• GetImageFrame
• GetImageSet
• GetImageSetMetadata
• ListDICOMImportJobs
• ListDatastores
• ListImageSetVersions
• ListTagsForResource
• SearchImageSets
• StartDICOMImportJob
• TagResource
• UntagResource
• UpdateImageSetMetadata

Scenarios

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

• Get started with image sets and image frames
• Tagging a data store
• Tagging an image set

Run the examples

Instructions

Hello HealthImaging

This example shows you how to get started using HealthImaging.

python imaging_set_and_frames_workflow/hello.py

Get started with image sets and image frames

This example shows you how to import DICOM files and download image frames in HealthImaging.</para> <para>The implementation is structured as a command-line application.

• Set up resources for a DICOM import.
• Import DICOM files into a data store.
• Retrieve the image set IDs for the import job.
• Retrieve the image frame IDs for the image sets.
• Download, decode and verify the image frames.
• Clean up resources.

Start the example by running the following at a command prompt:

python imaging_set_and_frames_workflow/imaging_set_and_frames.py

Tagging a data store

This example shows you how to tag a HealthImaging data store.

Start the example by running the following at a command prompt:

python tagging_data_stores.py

Tagging an image set

This example shows you how to tag a HealthImaging image set.

Start the example by running the following at a command prompt:

python tagging_image_sets.py

Tests

⚠ Running tests might result in charges to your AWS account.

To find instructions for running these tests, see the README in the python folder.

Additional resources

• HealthImaging Developer Guide
• HealthImaging API Reference
• SDK for Python HealthImaging reference

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SPDX-License-Identifier: Apache-2.0