MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Is your feature request related to a problem? Please describe.
I propose the addition of a new feature to MOOSE that would enable the calculation of volumes for each label in multilabel segmentations. Furthermore, this feature should include the capability to export these volume measurements into a CSV file. This functionality will significantly enhance MOOSE's utility in medical image analysis, particularly in studies where volume quantification is essential.
Describe the solution you'd like
Volume Calculation: Implement a function to calculate the volume of each segmented label in a 3D image. The volume calculation should account for the voxel dimensions to provide accurate real-world measurements.
CSV Export Functionality: Develop a feature to export the calculated volumes into a CSV file.The CSV should include columns for 'Label ID', 'Volume', and any other relevant metadata.
Is your feature request related to a problem? Please describe.
I propose the addition of a new feature to MOOSE that would enable the calculation of volumes for each label in multilabel segmentations. Furthermore, this feature should include the capability to export these volume measurements into a CSV file. This functionality will significantly enhance MOOSE's utility in medical image analysis, particularly in studies where volume quantification is essential.
Describe the solution you'd like