A Sparsity-Constrained Preconditioned Kaczmarz Reconstruction Method for Fluorescence Molecular Tomography
Joint Authors
Chen, Duofang
Li, Yao
Qiu, Guanghui
Liang, Jimin
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-24
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Fluorescence molecular tomography (FMT) is an imaging technique that can localize and quantify fluorescent markers to resolve biological processes at molecular and cellular levels.
Owing to a limited number of measurements and a large number of unknowns as well as the diffusive transport of photons in biological tissues, the inverse problem in FMT is usually highly ill-posed.
In this work, a sparsity-constrained preconditioned Kaczmarz (SCP-Kaczmarz) method is proposed to reconstruct the fluorescent target for FMT.
The SCP-Kaczmarz method uses the preconditioning strategy to minimize the correlation between the rows of the forward matrix and constrains the Kaczmarz iteration results to be sparse.
Numerical simulation and phantom and in vivo experiments were performed to test the efficiency of the proposed method.
The results demonstrate that both the convergence and accuracy of the proposed method are improved compared with the classical memory-efficient low-cost Kaczmarz method.
American Psychological Association (APA)
Chen, Duofang& Liang, Jimin& Li, Yao& Qiu, Guanghui. 2016. A Sparsity-Constrained Preconditioned Kaczmarz Reconstruction Method for Fluorescence Molecular Tomography. BioMed Research International،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1097797
Modern Language Association (MLA)
Chen, Duofang…[et al.]. A Sparsity-Constrained Preconditioned Kaczmarz Reconstruction Method for Fluorescence Molecular Tomography. BioMed Research International No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1097797
American Medical Association (AMA)
Chen, Duofang& Liang, Jimin& Li, Yao& Qiu, Guanghui. A Sparsity-Constrained Preconditioned Kaczmarz Reconstruction Method for Fluorescence Molecular Tomography. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1097797
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097797