2-D Tomographic Reconstruction Demo

Version 1.6.1.0 (678 KB) von Ligong Han
Matlab demo for 2-D tomographic reconstruction
3.3
(6)
4,6K Downloads
Aktualisiert 13. Apr 2021
Lizenz auf GitHub anzeigen

There are two main methods for tomographic reconstruction: one is based on Radon transform and its inverse transform such as filtered back-projection (FBP), another is based on solving linear algebra equations such as algebraic reconstruction technique (ART).
This toolbox includes tools for creating projections and reconstructing the image from projections:
tomo_projection_2d, computes projections of a given image;
build_weight_matrix, builds weighting factor matrix used for algebraic methods;
tomo_reconstruction_bp, reconstructs the image from its projections using BP method;
tomo_reconstruction_fbp, reconstructs the image from its projections using FBP method;
tomo_reconstruction_sart, reconstructs the image from its projections using SART method;
tomo_reconstruction_lsqr, reconstructs the image from its projections, equations are solved by calling the build-in lsqr function.
See demo.m for details.

Zitieren als

Ligong Han (2024). 2-D Tomographic Reconstruction Demo (https://github.com/phymhan/matlab-tomo-2d), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2012a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
1.6.1.0

- removed art
1.6.0.0

Bug fixes in demo
- added a function 'imcrop_tomo' to crop the reconstructed image to the same size as the original image;
- enclosed a test function which illustrates the process of computing weighting factor matrix.
- updates high-pass filter
1.5.0.0

Change the diameter calculated in 'tomo_projection_2d' by adding 2, so that it will match the value computed from 'build_weight_matrix'.
1.4.0.0

- updated descriptions;
- fixed errors in art_solver.
1.3.0.0

- rearranged files
- rewrote demos
- added instructions
1.2.0.0

A more accurate method of building weight matrix
1.0.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.