suggestion to avoid issue when multiple types of files are in the same folder
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- Dominant language
- Python
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- 256
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Description
Hi rt_Utils authors,
Thanks for a great tool !
I've experienced some problems, when I am running the add_roi function.
I got the following error-message: Mask must have the same number of layers (In the 3rd dimension) as input series. Expected 130, got 129.
The problem arises, because my folder contains both RT structs, CT scans, RT dose and RT plan. The RT dose file do also have a 'pixel_array' attribute.
I changed a line in the function: load_dcm_images_from_path
from
if hasattr(ds, "pixel_array"):
series_data.append(ds)
to
if ds.Modality == 'CT':
series_data.append(ds)
It solved my problem. :)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating load_dcm_images_from_path and reproduce the reported add_roi failure with a folder containing RT structs, CT scans, RT dose, and RT plan files. Verify that mixed DICOM content no longer produces a layer-count mismatch and that CT image series are selected correctly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100