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This project takes MRI or CT scan raw *.dicom files as an input then it transform it to a visible picture in Hounsfield scale, then it builds a 3d model based on the slices data, the next step in the project is to export it to *.stl to be 3D printed into a real size plastic organ for educational and surgical purposes.

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ahmad-h-yassin/Medical_Dicom_3D

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Medical_Dicom_3D

This project takes MRI or CT scan raw *.dicom files as an input then it transform it to a visible picture in Hounsfield scale. Next it builds a 3d model based on the slices data.

Further Updates List:

1-STL Exporting : A 3d printable model export feature will be added to enable the users to print a real size replica of the organ for educational and medical purposes

2-Front End: A GUI will added to enable user frindely usages for non-programmers

This code is based on the following tutorial: https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/

#Note : Due to github's limitation on large files I couldn't upload the *.npy Output files however you can generate them using the provided data.

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This project takes MRI or CT scan raw *.dicom files as an input then it transform it to a visible picture in Hounsfield scale, then it builds a 3d model based on the slices data, the next step in the project is to export it to *.stl to be 3D printed into a real size plastic organ for educational and surgical purposes.

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