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Proceedings Paper

A parallel reduced-space sequential-quadratic programming algorithm for frequency-domain small animal optical tomography
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Paper Abstract

Computational speed and available memory size on a single processor are two limiting factors when using the frequency-domain equation of radiative transport (FD-ERT) as a forward and inverse model to reconstruct three-dimensional (3D) tomographic images. In this work, we report on a parallel, multiprocessor reducedspace sequential quadratic programming (RSQP) approach to improve computational speed and reduce memory requirement. To evaluate and quantify the performance of the code, we performed simulation studies employing a 3D numerical mouse model. Furthermore, we tested the algorithm with experimental data obtained from tumor bearing mice.

Paper Details

Date Published: 24 February 2009
PDF: 11 pages
Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 717406 (24 February 2009); doi: 10.1117/12.809484
Show Author Affiliations
Xuejun Gu, Columbia Univ. (United States)
Hyun K. Kim, Columbia Univ. (United States)
James Masciotti, Columbia Univ. (United States)
Andreas H. Hielscher, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 7174:
Optical Tomography and Spectroscopy of Tissue VIII
Bruce J. Tromberg; Arjun G. Yodh; Mamoru Tamura; Eva M. Sevick-Muraca; Robert R. Alfano, Editor(s)

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