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A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography

A finite element mesh aggregating approach is presented to reconstruct images of multiple internal bioluminescence sources. Rather than assuming independence between mesh nodes, the proposed reconstruction strategy exploits spatial structure of nodes and aggregation feature of density distribution o...

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Detalles Bibliográficos
Autores principales: Yu, Jingjing, Liu, Fang, Jiao, L. C., Yang, Shuyuan, He, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227523/
https://www.ncbi.nlm.nih.gov/pubmed/22144980
http://dx.doi.org/10.1155/2011/210428
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author Yu, Jingjing
Liu, Fang
Jiao, L. C.
Yang, Shuyuan
He, Xiaowei
author_facet Yu, Jingjing
Liu, Fang
Jiao, L. C.
Yang, Shuyuan
He, Xiaowei
author_sort Yu, Jingjing
collection PubMed
description A finite element mesh aggregating approach is presented to reconstruct images of multiple internal bioluminescence sources. Rather than assuming independence between mesh nodes, the proposed reconstruction strategy exploits spatial structure of nodes and aggregation feature of density distribution on the finite element mesh to adaptively determine the number of sources and to improve the quality of reconstructed images. With the proposed strategy integrated in the regularization-based reconstruction process, reconstruction algorithms need no a priori knowledge of source number; even more importantly, they can automatically reconstruct multiple sources that differ greatly in density or power.
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spelling pubmed-32275232011-12-05 A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography Yu, Jingjing Liu, Fang Jiao, L. C. Yang, Shuyuan He, Xiaowei Int J Biomed Imaging Research Article A finite element mesh aggregating approach is presented to reconstruct images of multiple internal bioluminescence sources. Rather than assuming independence between mesh nodes, the proposed reconstruction strategy exploits spatial structure of nodes and aggregation feature of density distribution on the finite element mesh to adaptively determine the number of sources and to improve the quality of reconstructed images. With the proposed strategy integrated in the regularization-based reconstruction process, reconstruction algorithms need no a priori knowledge of source number; even more importantly, they can automatically reconstruct multiple sources that differ greatly in density or power. Hindawi Publishing Corporation 2011 2011-11-14 /pmc/articles/PMC3227523/ /pubmed/22144980 http://dx.doi.org/10.1155/2011/210428 Text en Copyright © 2011 Jingjing Yu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yu, Jingjing
Liu, Fang
Jiao, L. C.
Yang, Shuyuan
He, Xiaowei
A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography
title A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography
title_full A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography
title_fullStr A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography
title_full_unstemmed A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography
title_short A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography
title_sort finite element mesh aggregating approach to multiple-source reconstruction in bioluminescence tomography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227523/
https://www.ncbi.nlm.nih.gov/pubmed/22144980
http://dx.doi.org/10.1155/2011/210428
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