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I have a deep learning model that segments a DICOM-formatted CT scan. The segmentation is saved out as a numpy array. When I try to convert this array to an RT-Struct, providing the folder that the CT scan lies in and the numpy array and overlay this RTStruct in DICOM-Viewing Software, the segmentation is not in the correct place, but offset ~120 slices (this offset number changes for every scan).
I've had real trouble with these CT scans.
Josh
The text was updated successfully, but these errors were encountered:
Link to a scan where the segmentation is offset. The numpy array itself aligns perfectly with the scans i.e. overlaying the numpy array directly on the pixel_array in python presents the correct segmentation for each slice.
I have a deep learning model that segments a DICOM-formatted CT scan. The segmentation is saved out as a numpy array. When I try to convert this array to an RT-Struct, providing the folder that the CT scan lies in and the numpy array and overlay this RTStruct in DICOM-Viewing Software, the segmentation is not in the correct place, but offset ~120 slices (this offset number changes for every scan).
I've had real trouble with these CT scans.
Josh
The text was updated successfully, but these errors were encountered: