Clara Deploy SDK is being consolidated into Clara Holoscan SDK

More info https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/claradeploy

Clara DICOM Writer

This asset requires the Clara Deploy SDK. Follow the instructions on the\nClara Ansible page\nto install the Clara Deploy SDK.

Overview

The DICOM Writer is a post-processor that converts an MHD file into DICOM files.

Each MHD file is converted into a series of DICOM files, which are output to a specified directory.\nEach DICOM file is named with an auto-generated UID. Each MHD file should be named after the Series\nInstance UID associated with its original DICOM series (e.g. 1.2.826.0.1.3680043.2.1125.1.30521143073416610365663301213782755.mhd). The output directory is subsequently consumed by the Clara DICOM Adapter.

Requirements

Docker

Running the DICOM Writer

Before running the container, use docker pull to ensure an up-to-date image is installed. Once\nthe pull is complete, you can run the container image as part of a pipeline.

\n
In the Tags section, locate the container image release that you want to run.
\n
\n
In the PULL TAG column in the table, click the icon to copy the docker pull command.
\n
\n
Open a command prompt and paste the pull command. Ensure the pull completes successfully\nbefore proceeding to the next step.
\n
\n
Use the following command to create dicom, mhd, and output folders for mounting the\ncontainer:
\n

mkdir -p dicom mhd output\n

Copy DICOM files to the dicom folder and MHD files to the mhd folder with the following\ncommands:

# Copy DICOM files to the DICOM folder\ncp -r /path/to/dicom/files dicom\n\n# Copy mhd files to the mhd folder\ncp -r /path/to/mhd/files mhd\n

The DICOM Writer will convert MHD files in the mhd folder to DICOM files in the output folder\nusing headers from the DICOM files in the dicom folder.

Use the the following commands to run the DICOM Writer with the dicom, mhd and output\ndirectories:

docker run -it --rm \\\n-e NVIDIA_CLARA_NOSYNCLOCK=TRUE \\\n-e NVIDIA_CLARA_JOBID=\"692f5d9e2c974e4b87e87dc9bfacf5b2\" \\\n-e NVIDIA_CLARA_JOBNAME=\"test-dicom-write\" \\\n-e NVIDIA_CLARA_STAGENAME=\"io\" \\\n-e NVIDIA_CLARA_INPUT=\"/payload/mhd\" \\\n-e NVIDIA_CLARA_DCM=\"/payload/dicom\" \\\n-e NVIDIA_CLARA_OUTPUT=\"/payload/output\" \\\n-v `pwd`/dicom:/payload/dicom \\\n-v `pwd`/mhd:/payload/mhd \\\n-v `pwd`/output:/payload/output \\\ndicom-writer:latest\n

Note: The above image tag is set to latest. Replace latest with the image tag used in step 1.

License

An End User License Agreement\nis included with the product. By pulling and using the Clara Deploy asset on NGC, you accept the\nterms and conditions of these licenses.

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Follow the instructions on the\n[Clara Ansible](https://ngc.nvidia.com/catalog/model-scripts/nvidia:clara:clara_ansible) page\nto install the Clara Deploy SDK.\n\n## Overview\n\nThe DICOM Writer is a post-processor that converts an MHD file into DICOM files.\n\nEach MHD file is converted into a series of DICOM files, which are output to a specified directory.\nEach DICOM file is named with an auto-generated UID. Each MHD file should be named after the Series\nInstance UID associated with its original DICOM series (e.g. `1.2.826.0.1.3680043.2.1125.1.30521143073416610365663301213782755.mhd`). The output directory is subsequently consumed by the Clara DICOM Adapter.\n\n## Requirements\n\nDocker\n\n## Running the DICOM Writer\n\nBefore running the container, use `docker pull` to ensure an up-to-date image is installed. Once\nthe pull is complete, you can run the container image as part of a pipeline.\n\n1. In the `Tags` section, locate the container image release that you want to run.\n\n2. In the `PULL TAG` column in the table, click the icon to copy the `docker pull` command.\n\n3. Open a command prompt and paste the pull command. Ensure the pull completes successfully\n before proceeding to the next step.\n\n4. Use the following command to create `dicom`, `mhd`, and `output` folders for mounting the\n container:\n\n ```bash\n mkdir -p dicom mhd output\n ```\n\n5. Copy DICOM files to the `dicom` folder and MHD files to the `mhd` folder with the following\n commands:\n\n ```bash\n # Copy DICOM files to the DICOM folder\n cp -r /path/to/dicom/files dicom\n\n # Copy mhd files to the mhd folder\n cp -r /path/to/mhd/files mhd\n ```\n\n The DICOM Writer will convert MHD files in the `mhd` folder to DICOM files in the `output` folder\n using headers from the DICOM files in the `dicom` folder.\n\n6. Use the the following commands to run the DICOM Writer with the `dicom`, `mhd` and `output`\n directories:\n\n ```bash\n docker run -it --rm \\\n -e NVIDIA_CLARA_NOSYNCLOCK=TRUE \\\n -e NVIDIA_CLARA_JOBID=\"692f5d9e2c974e4b87e87dc9bfacf5b2\" \\\n -e NVIDIA_CLARA_JOBNAME=\"test-dicom-write\" \\\n -e NVIDIA_CLARA_STAGENAME=\"io\" \\\n -e NVIDIA_CLARA_INPUT=\"/payload/mhd\" \\\n -e NVIDIA_CLARA_DCM=\"/payload/dicom\" \\\n -e NVIDIA_CLARA_OUTPUT=\"/payload/output\" \\\n -v `pwd`/dicom:/payload/dicom \\\n -v `pwd`/mhd:/payload/mhd \\\n -v `pwd`/output:/payload/output \\\n dicom-writer:latest\n ```\n\n**Note**: The above image tag is set to `latest`. Replace `latest` with the image tag used in step 1.\n\n## License\n\nAn [End User License Agreement](https://developer.nvidia.com/nvidia-clara-sdk-license)\nis included with the product. By pulling and using the Clara Deploy asset on NGC, you accept the\nterms and conditions of these licenses.","Clara Deploy DICOM Writer [Deprecated]",["D",1636486626578],[295,293,291,289,287,285,213,281],"/api/image/nvidia/clara/containers/dicom-writer",194024770,"hasSignedTag",[],[314,315],[],[],[],{"_90":146,"_130":146,"_131":317,"_133":134},{"_90":138,"_130":139,"_131":316,"_133":134},{"_135":141,"_130":139},{"_135":134,"_130":146},{"_180":1449,"_182":1450},"ngcApps",[1402],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1383":1384,"_1385":1386,"_1387":1388,"_1389":1390,"_1391":329,"_212":355,"_1392":1393,"_1394":51,"_1395":159,"_1396":159,"_1397":1398,"_1399":159,"_1400":1401},"amplitude",{"_1380":1381,"_991":-7,"_1382":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0yJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1374":1375,"_1376":1377,"_1378":1379},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1794549838616,"1.31.0","defaultSearchSuggestions",{"_1261":437,"_1262":1263,"_1264":1265,"_1266":1267},"announcements",[],"consentState",{"_393":1251,"_1252":26,"_1253":26,"_1254":159,"_1255":1256},"consentConfig",{"_375":376,"_377":378,"_379":380,"_381":382,"_383":384,"_385":386,"_387":388,"_389":390,"_391":392,"_393":394},"showContactAdmin",[],[],[368,369,370,371,372,373,374],{"_40":62,"_42":65,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":62,"_42":64,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":62,"_42":63,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":60,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":56,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":41,"_42":43,"_44":61,"_46":-5,"_48":-5,"_50":51},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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