Dicom Agent
What is Dicom Agent
dicom-agent is a fully agentic demo designed for a medical imaging assistant that utilizes dicom-mcp to facilitate the handling and processing of DICOM images.
Use cases
Use cases for dicom-agent include automating the transfer of medical imaging data between systems, facilitating research workflows in medical imaging, and enhancing the capabilities of medical imaging assistants.
How to use
To use dicom-agent, start the Orthanc container and if it’s your first time, run the script ‘sh orthanc/upload_data.sh’. Make sure to change the ORTHANC_IP in the monai-deploy/.env file and adjust the ‘DicomModalities’ IP accordingly. Use the command ‘movescu’ to send CT series to MONAI-DEPLOY and ensure that the default shared memory size in the Docker daemon is set to at least 1GB. Finally, register the workflow using a curl command.
Key features
Key features of dicom-agent include seamless integration with Orthanc for DICOM image management, the ability to send CT series to MONAI-DEPLOY, and support for custom workflows through JSON configuration.
Where to use
dicom-agent is primarily used in the medical imaging field, particularly in hospitals and research institutions that require efficient processing and management of DICOM images.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Dicom Agent
dicom-agent is a fully agentic demo designed for a medical imaging assistant that utilizes dicom-mcp to facilitate the handling and processing of DICOM images.
Use cases
Use cases for dicom-agent include automating the transfer of medical imaging data between systems, facilitating research workflows in medical imaging, and enhancing the capabilities of medical imaging assistants.
How to use
To use dicom-agent, start the Orthanc container and if it’s your first time, run the script ‘sh orthanc/upload_data.sh’. Make sure to change the ORTHANC_IP in the monai-deploy/.env file and adjust the ‘DicomModalities’ IP accordingly. Use the command ‘movescu’ to send CT series to MONAI-DEPLOY and ensure that the default shared memory size in the Docker daemon is set to at least 1GB. Finally, register the workflow using a curl command.
Key features
Key features of dicom-agent include seamless integration with Orthanc for DICOM image management, the ability to send CT series to MONAI-DEPLOY, and support for custom workflows through JSON configuration.
Where to use
dicom-agent is primarily used in the medical imaging field, particularly in hospitals and research institutions that require efficient processing and management of DICOM images.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
- Start the orthanc container
- (if first time) sh orthanc/upload_data.sh
Change the ORTHANC_IP in the monai-deploy/.env file
Likewise change the “DicomModalities”: “MONAI-DEPLOY”: IP to match the monai-deploy
This will send CT series to MONAI-DEPLOY
movescu -S -aec ORTHANC localhost 4242 -aem MONAI-DEPLOY -k QueryRetrieveLevel=SERIES -k PatientID=Anon001 -k StudyInstanceUID= -k Modality= -k SeriesInstanceUID=2.25.277176293157759780141760041699188966257
ensure default shared memory size >=1gb in docker daemon
register totalseg_workflow.json with curl
curl --request POST --header ‘Content-Type: application/json’ --data “@totalseg_workflow.json” http://localhost:5001/workflows
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
