Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography-Reference-Cited by-同舟云学术

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Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography

Published:2024-01 Issue: Volume:243 Page:107863
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Zhang Gege,Zhang Jun,Chen Yi^ORCID,Du Mengfei,Li Kang^ORCID,Su Linzhi,Yi Huangjian,Zhao Fengjun,Cao Xin^ORCID

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Northwest University

Shanxi Provincial Key Research and Development Project

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference56 articles.

1. Bioluminescence tomography reconstruction in conjunction with an organ probability map as an anatomical reference;Yin;Biomedical Optics Express,2022

2. Algorithms for bioluminescence tomography incorporating anatomical information and reconstruction of tissue optical properties;Naser;Biomedical optics express,2010

3. Molecular imaging in drug development;Willmann;Nature reviews Drug discovery,2008

4. Recent advances in bioluminescence tomography: methodology and system as well as application;Qin;Laser & Photonics Reviews,2014

5. A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography;Guo;Journal of biophotonics,2018

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