CT Basic reconstruction algorithms

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

https://github.com/sokolmarek/CTBasicReconstruction

Version 1.0.2 (2.48 KB)
890 Downloads
(2)
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).

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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.

General Information

MATLAB Release Compatibility

  • Compatible with R2015a to R2020b

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
1.0.2

See release notes for this release on GitHub: https://github.com/sokolmarek/CTBasicReconstruction/releases/tag/v1.0.2
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.