2-D Tomographic Reconstruction Demo

版本 1.6.1.0 (678.1 KB) 作者: Ligong Han
Matlab demo for 2-D tomographic reconstruction
4.6K 次下载
更新时间 2021/4/13

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.

引用格式

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

MATLAB 版本兼容性
创建方式 R2012a
兼容任何版本
平台兼容性
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
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

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库