CT Basic reconstruction algorithms

Version 1.0.2 (2.48 KB) by Spectro

Functions demonstrating the basic principles of image reconstruction in computed tomography.

https://github.com/sokolmarek/CTBasicReconstruction

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Updated 16 Oct 2020

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Functions demonstrating the basic principles of image reconstruction in computed tomography. In particular back projection, filtered back projection using Ramlak filter and iterative reconstruction. It also contains functions for creating a singoram (converting an image into radon space).

Cite As

Marek Sokol (2020). CT Basic reconstruction algorithms (https://www.mathworks.com/matlabcentral/fileexchange/81288-ct-basic-reconstruction-algorithms), MATLAB Central File Exchange. Retrieved October 16, 2020.

MATLAB Release Compatibility

Created with R2020b

Compatible with R2015a to R2020b

Platform Compatibility

Windows macOS Linux

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Acknowledgements

Inspired by: CT reconstruction package, 3D Cone beam CT (CBCT) projection backprojection FDK, iterative reconstruction Matlab examples, 3D Shepp-Logan Phantom, Radon BackProjection Algorithm, TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

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Version	Published	Release Notes
1.0.2	16 Oct 2020	See release notes for this release on GitHub: https://github.com/sokolmarek/CTBasicReconstruction/releases/tag/v1.0.2	Download
1.0.0	16 Oct 2020		Download

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