Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography

Inverse source reconstruction is the most challenging aspect of bioluminescence tomography (BLT) because of its ill-posedness. Although many efforts have been devoted to this problem, so far, there is no generally accepted method. Due to the ill-posedness property of the BLT inverse problem, the reg...

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Main Authors:	Zhang, Qitan, Chen, Xueli, Qu, Xiaochao, Liang, Jimin, Tian, Jie
Format:	Online
Language:	English
Published:	Optical Society of America 2012
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3493215/

id	pubmed-3493215
recordtype	oai_dc
spelling	pubmed-34932152012-11-16 Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography Zhang, Qitan Chen, Xueli Qu, Xiaochao Liang, Jimin Tian, Jie Image Reconstruction and Inverse Problems Inverse source reconstruction is the most challenging aspect of bioluminescence tomography (BLT) because of its ill-posedness. Although many efforts have been devoted to this problem, so far, there is no generally accepted method. Due to the ill-posedness property of the BLT inverse problem, the regularization method plays an important role in the inverse reconstruction. In this paper, six reconstruction algorithms based on lp regularization are surveyed. The effects of the permissible source region, measurement noise, optical properties, tissue specificity and source locations on the performance of the reconstruction algorithms are investigated using a series of single source experiments. In order to further inspect the performance of the reconstruction algorithms, we present the double sources and the in vivo mouse experiments to study their resolution ability and potential for a practical heterogeneous mouse experiment. It is hoped to provide useful guidance on algorithm development and application in the related fields. Optical Society of America 2012-10-23 /pmc/articles/PMC3493215/ /pubmed/23162729 http://dx.doi.org/10.1364/BOE.3.002916 Text en ©2012 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Zhang, Qitan Chen, Xueli Qu, Xiaochao Liang, Jimin Tian, Jie
spellingShingle	Zhang, Qitan Chen, Xueli Qu, Xiaochao Liang, Jimin Tian, Jie Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography
author_facet	Zhang, Qitan Chen, Xueli Qu, Xiaochao Liang, Jimin Tian, Jie
author_sort	Zhang, Qitan
title	Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography
title_short	Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography
title_full	Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography
title_fullStr	Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography
title_full_unstemmed	Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography
title_sort	comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography
description	Inverse source reconstruction is the most challenging aspect of bioluminescence tomography (BLT) because of its ill-posedness. Although many efforts have been devoted to this problem, so far, there is no generally accepted method. Due to the ill-posedness property of the BLT inverse problem, the regularization method plays an important role in the inverse reconstruction. In this paper, six reconstruction algorithms based on lp regularization are surveyed. The effects of the permissible source region, measurement noise, optical properties, tissue specificity and source locations on the performance of the reconstruction algorithms are investigated using a series of single source experiments. In order to further inspect the performance of the reconstruction algorithms, we present the double sources and the in vivo mouse experiments to study their resolution ability and potential for a practical heterogeneous mouse experiment. It is hoped to provide useful guidance on algorithm development and application in the related fields.
publisher	Optical Society of America
publishDate	2012
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3493215/
_version_	1611922695085096960

Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography

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