https://github.com/chairchandler/computer-tomography-simulation

Computer Tomography simulation using radon transform.
https://github.com/chairchandler/computer-tomography-simulation

computed-tomography computer-tomograpy ct dicom medical-informatics numpy pydicom pyside2 python python-3 python-3-6 radon-transform simulation sinogram sinogram-viewer skimage tomography-simulation

Last synced: 4 months ago
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Computer Tomography simulation using radon transform.

• Host: GitHub
• URL: https://github.com/chairchandler/computer-tomography-simulation
• Owner: ChairChandler
• License: gpl-3.0
• Created: 2020-03-10T22:17:33.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-03-30T19:25:03.000Z (almost 6 years ago)
• Last Synced: 2025-01-19T07:42:15.639Z (about 1 year ago)
• Topics: computed-tomography, computer-tomograpy, ct, dicom, medical-informatics, numpy, pydicom, pyside2, python, python-3, python-3-6, radon-transform, simulation, sinogram, sinogram-viewer, skimage, tomography-simulation
• Language: Python
• Homepage:
• Size: 2.05 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Computer Tomography Simulation 

[Computer tomography](https://en.wikipedia.org/wiki/CT_scan) simulation using [radon transform](https://en.wikipedia.org/wiki/Radon_transform).

## How to run

1. Download needed packages:

 - Numpy   (pip install numpy)

 - PySide2 (pip install PySide2)

 - pydicom (pip install pydicom)

 - skimage (pip install scikit-image)

 

2. Run via python3 interpreter.

## GUI Interface

![1](https://user-images.githubusercontent.com/32361814/77952539-1f2a9280-72cc-11ea-8c82-b90463022f11.png)

## Issues

Non-fast mode preprocess images iteration frames from greyscale through rgb to the PySide2 QPixmap. It impacts on CT process and extends time for ending.