Comprehensive study of methods for automatic choice of regularization parameter for diffuse optical tomography

Author:

Sun Zhonghua1,Wang Yaqi1,Jia Kebin1,Feng Jinchao1

Affiliation:

1. Beijing University of Technology, Beijing Advanced Innovation Center for Future Internet Technology, Chaoyang District, Beijing 100124, ChinabBeijing Laboratory of Advanced Information Networks, Chaoyang District, Beijing 100124, ChinacBeijing University of Technology, College of Electronic Information and Control Engineering, Chaoyang District, Beijing 100124, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Gauss-Seidel based spatially varying optimal regularization improves reconstruction in diffuse optical tomography;The Imaging Science Journal;2023-07-31

2. A Review of Image Reconstruction Algorithms for Diffuse Optical Tomography;Applied Sciences;2023-04-17

3. Iterative Gauss-Seidel method improves image reconstruction in diffuse optical Tomography: A comparative study;2nd INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCES-MODELLING, COMPUTING AND SOFT COMPUTING (CSMCS 2022);2023

4. Differential photon waves imaging;International Journal of Imaging Systems and Technology;2020-09-08

5. Regularization Techniques for Inverse Problem in DOT Applications;Journal of Physics: Conference Series;2020-03-01

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