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Describe the bug
I am trying create and run my own prostate_mri_lesion_seg_app. For this, I am using data from the QIN-Prostate-Repeatability collection. I've modified the app.py file to correctly select the appropriate T2, ADC, and high b value series. I've successfully deployed my own MAP, but when I go to run it, the organ segmentation nifti produced is invalid. Because of this, it does not get to the lesion segmentation stage. I've confirmed that the series were correctly identified, as the correct T2, ADC, and high b value nifti files are saved out.
To Reproduce
Steps to reproduce the behavior:
I modified the Rules_T2, Rules_ADC and Rules_HIGHB to match the ImageType and SeriesDescription constraints from QIN-Prostate-Repeatability.
I deployed my own MAP with no obvious errors.
I then tried running the MAP on a study from QIN-Prostate-Repeatability. It correctly saved out t2/t2.nii.gz, adc/adc.nii.gz and highb/highb.nii.gz. I visually confirmed the correct series were chosen, and that the data looked okay, in Slicer.
During running of the ProstateSegOperator, the following occurred for the prostate segmentation:
Value range: (0.0, 0.0)
Output Seg image numpy array shaped: (30, 512, 512)
Output Seg image pixel max value: 0
Output Seg image pixel min value: 0
A nifti file was somehow saved out as organ/organ.nii.gz, with 0 for ImageDimensions and the wrong pixel spacing.
Expected behavior
I expected to have:
Value range: (0.0, 1.0)
Output Seg image numpy array shaped: (30, 512, 512)
Output Seg image pixel max value: 1
Output Seg image pixel min value: 0
I also expected to have the volume information match what was seen in the T2/ADC/highB values.
Screenshots
Environment (please complete the following information):
Sorry for not being able to provide feedback earlier @deepakri201. There were just some recent updates made to the prostate-mri-lesion-seg repository. Could you try the newer version and see if you get same issue?
Describe the bug
I am trying create and run my own
prostate_mri_lesion_seg_app
. For this, I am using data from the QIN-Prostate-Repeatability collection. I've modified theapp.py
file to correctly select the appropriate T2, ADC, and high b value series. I've successfully deployed my own MAP, but when I go to run it, the organ segmentation nifti produced is invalid. Because of this, it does not get to the lesion segmentation stage. I've confirmed that the series were correctly identified, as the correct T2, ADC, and high b value nifti files are saved out.To Reproduce
Steps to reproduce the behavior:
I modified the
Rules_T2
,Rules_ADC
andRules_HIGHB
to match theImageType
andSeriesDescription
constraints from QIN-Prostate-Repeatability.I deployed my own MAP with no obvious errors.
I then tried running the MAP on a study from QIN-Prostate-Repeatability. It correctly saved out
t2/t2.nii.gz
,adc/adc.nii.gz
andhighb/highb.nii.gz
. I visually confirmed the correct series were chosen, and that the data looked okay, in Slicer.During running of the
ProstateSegOperator
, the following occurred for the prostate segmentation:Value range: (0.0, 0.0)
Output Seg image numpy array shaped: (30, 512, 512)
Output Seg image pixel max value: 0
Output Seg image pixel min value: 0
A nifti file was somehow saved out as
organ/organ.nii.gz
, with 0 for ImageDimensions and the wrong pixel spacing.Expected behavior
I expected to have:
Value range: (0.0, 1.0)
Output Seg image numpy array shaped: (30, 512, 512)
Output Seg image pixel max value: 1
Output Seg image pixel min value: 0
I also expected to have the volume information match what was seen in the T2/ADC/highB values.
Screenshots
Environment (please complete the following information):
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