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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4506

Title: Fluorescent molecular tomographic image reconstruction based on the Green’s function
Authors: Zou, Wei
Wang, Jiajun
Feng, D. David
Subjects: Adaptive algorithms
Green's function
Image quality
Jacobian matrices
Mesh generation
Parallel processing systems
Issue Date: 1-Jul-2007
Publisher: Optical Society of America
Citation: Journal of the optical society of America A: optics, image science, and vision, 1 July 2007, v. 24, no. 7, p. 2014-2022.
Abstract: The rapid and accurate computation of the Jacobian matrix, which is usually computationally intensive, is of critical importance for the reconstruction problem of fluorescent molecular tomography (FMT). An extension of the Green’s function method for the Jacobian matrix computation suitable for two coupled differential equations is proposed, in combination with the parallel forward computing strategy for FMT image reconstruction. For further acceleration of the reconstruction process without significant quality reduction of the results, we also propose to reconstruct the FMT image on an adaptively refined mesh generated with a priori information incorporated. Experimental results demonstrate that the speed of the reconstruction process can be significantly improved with the proposed overall algorithm.
Description: DOI: 10.1364/JOSAA.24.002014
Rights: © 2007 Optical Society of America. This paper was published in Journal of the Optical Society of America A 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: http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-24-7-2014. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/4506
ISSN: 1084-7529
Appears in Collections:EIE Journal/Magazine Articles

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