Loading Pre-segmented data into Orthanc the proper way so Monailabel can use it #1371
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monailabel considers existing DICOM segs for Orthanc.. there must be something missing piece of information to understand... https://github.com/Project-MONAI/MONAILabel/blob/main/monailabel/datastore/dicom.py#L146 You can share/go through the monailabel logs when you have started the server. Are you seeing any warnings in the log.. something like: https://github.com/Project-MONAI/MONAILabel/blob/main/monailabel/datastore/dicom.py#L154 |
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Hi @cliff-lindsay, We use the dicomweb-client library to communicate with Orthanc. Hope this help |
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Dear MonaiLabel Community,
I was wondering if you could help; I would like to use MonaiLabel radiology app in conjunction with Orthanc and OHIF. I have the MonaiLabel server up and running and can load images in OHIF. The problem I'm encountering is that I would like to populate Orthanc with with the segmentations of the image that were performed previously but I cannot get Monailabel to recognize the previously generated labels (generated outside of MoaniaLabel).
The segmentation files are proper DICOM images and conform to the DICOM-SEG standard. Furthermore, they are associated with the medical images (CTs) in that they are listed in the same study as their respective CTs (see screen shot below). The DICOM-SEGs are single 3d volumetric dicom files.
I was wondering if there is some guidance as to how to get pre-segmented images to work with MonaiLabel from within Orthanc. I have seen multiple examples and a variety of explanations on how to do this with 3D slicer and saving the images in directories, but I would really like to integrate MonaiLabel into our Orthanc PACS workflow if possible without having to re-segment 100s of images. Seems like there might be some additional setup required on MonaiLabel's side that I would have to do to make this work. Any help would be really appreciated. I have combining through the docs and discussions and have watched multiple videos to try to figure this out.
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