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This repo allows conversion of DICOMs RTStruct data to numpy and rudimentary visualization.

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khaledbousabarah/RTStruct_to_Numpy

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RTStruct to Numpy

Installation

python setup.py install

Requires installation of dicom_decompresser: https://github.com/khaledbousabarah/Dicom_Decompress

Usage

Define a path containing the RTStruct and the corresponding Dicom Images

import rts_to_npy

study = rts_to_npy.load(dicom_path)

By default only contours with less than 50000 coordinates will be loaded. This can be changed using the optional parameter max_number_of_coords.

The function returns an object containing the image with all VOIs.

study = rts_to_npy.load(dicom_path)

print(study) # List VOIs by name

study.image	# Returns image as numpy

study.Cerebellum.npy() # Returns mask of VOI named Cerebellum as numpy

study.Cerebellum.plot() # Plots image with contour (slice and zoom optional)

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This repo allows conversion of DICOMs RTStruct data to numpy and rudimentary visualization.

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