DICOM Reader
DICOM Reader is a pre-processor that converts DICOM files into MHD files. Each DICOM series is converted into a single MHD file. DICOM files are associated with a DICOM series by the Series Instance UID header.
Docker
Before running the container, use docker pull
to ensure an up-to-date image is installed. Once the pull is complete, you can run the container image as part of a workflow.
Run DICOM Reader with the following steps, from anywhere on your machine:
In the
Tags
section, locate the container image release that you want to run.In the
PULL TAG
column in the table, click the icon to copy thedocker pull
command.
#. Open a command prompt and paste the pull command. The pulling of the container image begins. Ensure the pull completes successfully before proceeding to the next step. #.
Create input
and output
folders for mounting to the container in the next steps with the following command:
mkdir -p input output
Copy DICOM files to the
input
folder with the following command:cp -r /path/to/dicom/files input
Run DICOM Reader with the
input
andoutput
directories with the following command:docker run -it -d \ -e NVIDIA_CLARA_RUNSIMPLE=TRUE \ -e NVIDIA_CLARA_JOBID="692f5d9e-2c97-4e4b-87e8-7dc9bfacf5b2" \ -e NVIDIA_CLARA_JOBNAME="test-dicom-read" -e NVIDIA_CLARA_STAGENAME="io" -e NVIDIA_CLARA_APPDIR="/app" -e NVIDIA_CLARA_INPUTS="payload/input" -e NVIDIA_CLARA_OUTPUTS="payload/output" -v `pwd`/input:/app/payload/input \ -v `pwd`/output:/app/payload/output \ dicom-reader:latest Note: The above image tag is set to ``latest``. Replace ``latest`` with the image tag used in step 1.
The license to this container is available. It can be pulled as part of the procedure described above or available in the Clara Deploy SDK. By pulling and using the container, you accept the terms and conditions of these licenses.
Release Notes and the Getting Started Guide are available at the NVIDIA Developer forum (https://developer.nvidia.com/clara).
Use the NVIDIA Devtalk forum for questions about this release (https://devtalk.nvidia.com/default/board/362/clara-sdk/).