3D Cone beam CT (CBCT) projection backprojection FDK, iterative reconstruction Matlab examples

3D Cone beam CT (CBCT) projection backprojection FDK, iterative reconstruction Matlab examples
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Updated 25 Feb 2016

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This program is about 3D cone-beam CT for flat detector.
This is made for students who start to learn the CT medical imaging.
GPU option:
- I provide the projection, back-projection codes using built-in GPU functions (semi-GPU codes)
- Above version Matlab 2013b with parallel computing toolbox are needed.
- you can switch on/off the usage of GPU.
- The computational time of this code is several times faster than CPU-based code. Speed depends on your GPU.

Examples:
- FDK ( known as filtered backprojection)
- MLEM (Maximum Likelihood Expectation Maximization),
- SART (Simultaneous Algebraic Reconstruction Technique)
- SQS (Separable Quadratic Surrogates).

You can run:
0. Please check "ParamSetting.m" carefully.
1. Make a measurement: MeasurementGen.m: F5
1.1 Poisson Noise can be imposed.
2. Reconstruction examples
2.1 FDK
2.2 MLEM
2.3 SART
2.4 SQS

Please see this: https://onedrive.live.com/redir?resid=4599730E4EF6090E!4249&authkey=!AJPJM8_qtvrhuGc&ithint=file%2cpdf

Thank you

Cite As

Kyungsang Kim (2024). 3D Cone beam CT (CBCT) projection backprojection FDK, iterative reconstruction Matlab examples (https://www.mathworks.com/matlabcentral/fileexchange/35548-3d-cone-beam-ct-cbct-projection-backprojection-fdk-iterative-reconstruction-matlab-examples), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.14

Update descriptions
Examples updated, Matlab built-in function based GPU code updated, Parker weight updated.
Add descriptions

1.13.0.0

Fixed filtering function

1.12.0.0

Debug and add some descriptions

1.11.0.0

Update code and debug

1.10.0.0

I modified codes simply.

1.8.0.0

Change description

1.7.0.0

I changed title, tag

1.6.0.0

Fixed a bug

1.4.0.0

I optimized the source codes

1.0.0.0