Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23218
Title: Fluorescence molecular tomographic image reconstruction based on reduced measurement data
Authors: Zou, W
Wang, J
Feng, DD 
Fang, E
Keywords: Fluorescence
Forward model
Jacobian matrix
Molecular
Reduced measurement
Tomography
Issue Date: 2015
Publisher: SPIE-International Society for Optical Engineering
Source: Optical engineering, 2015, v. 54, no. 7, 142003 How to cite?
Journal: Optical engineering 
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. ? 2015 Society of Photo-Optical Instrumentation Engineers (SPIE).
URI: http://hdl.handle.net/10397/23218
ISSN: 0091-3286
EISSN: 1560-2303
DOI: 10.1117/1.OE.54.7.073114
Appears in Collections:Journal/Magazine Article

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