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Title: Image reconstruction of fluorescent molecular tomography based on the simplified matrix system
Authors: Zou, W
Wang, J
Feng, DD
Keywords: Inverse problems
Image reconstruction techniques
Medical and biological imaging
Issue Date: Aug-2013
Publisher: Optical Society of America
Source: Journal of the Optical Society of America A: optics and image science, and vision, Aug. 2013, v. 30, no. 8, p. 1464-1475 How to cite?
Journal: Journal of the Optical Society of America A: optics and image science, and vision 
Abstract: Fluorescent molecular tomographic image reconstruction usually involves repeatedly solving large-scale matrix equations, which are computationally expensive. In this paper, a method is proposed to reduce the scale of the matrix system. The Jacobian matrix is simplified by deleting the columns or the rows whose values are smaller than a threshold. Furthermore, the measurement data are divided into two groups and are used for iteration of image reconstruction in turn. The simplified system is then solved in the wavelet domain to further accelerate the process of solving the inverse problem. Simulation results demonstrate that the proposed method can significantly speed up the reconstruction process.
ISSN: 1084-7529 (print)
1520-8532 (eISSN)
DOI: 10.1364/JOSAA.30.001464
Rights: © 2013 Optical Society of America
This paper was published in Optical Society of America. Journal A: Optics, Image Science, and Vision and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.
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