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Optical Engineering

Fluorescence molecular tomographic image reconstruction based on reduced measurement data
Author(s): Wei Zou; Jiajun Wang; Dagan Feng; Erxi Fang
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Paper Abstract

The analysis of fluorescence molecular tomography is important for medical diagnosis and treatment. Although the quality of reconstructed results can be improved with the increasing number of measurement data, the scale of the matrices involved in the reconstruction of fluorescence molecular tomography will also become larger, which may slow down the reconstruction process. A new method is proposed where measurement data are reduced according to the rows of the Jacobian matrix and the projection residual error. To further accelerate the reconstruction process, the global inverse problem is solved with level-by-level Schur complement decomposition. Simulation results demonstrate that the speed of the reconstruction process can be improved with the proposed algorithm.

Paper Details

Date Published: 27 July 2015
PDF: 9 pages
Opt. Eng. 54(7) 073114 doi: 10.1117/1.OE.54.7.073114
Published in: Optical Engineering Volume 54, Issue 7
Show Author Affiliations
Wei Zou, Soochow Univ. (China)
Hong Kong Polytechnic Univ. (Hong Kong)
The Univ. of Sydney (Australia)
Jiajun Wang, Soochow Univ. (China)
Hong Kong Polytechnic Univ. (Hong Kong)
The Univ. of Sydney (Australia)
Dagan Feng, Hong Kong Polytechnic Univ. (China)
The Univ. of Sydney (Australia)
Shanghai Jiao Tong Univ. (China)
Erxi Fang, Soochow Univ. (China)


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