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

Xuejun Gu; Hyun K. Kim; James Masciotti; Andreas H. Hielscher

doi:10.1117/12.809484

23 February 2009 A parallel reduced-space sequential-quadratic programming algorithm for frequency-domain small animal optical tomography

Xuejun Gu, Hyun K. Kim, James Masciotti, Andreas H. Hielscher

Author Affiliations +

Proceedings Volume 7174, Optical Tomography and Spectroscopy of Tissue VIII; 717406 (2009) https://doi.org/10.1117/12.809484
Event: SPIE BiOS, 2009, San Jose, California, United States

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.

Citation Download Citation

Xuejun Gu, Hyun K. Kim, James Masciotti, and Andreas H. Hielscher "A parallel reduced-space sequential-quadratic programming algorithm for frequency-domain small animal optical tomography", Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 717406 (23 February 2009); https://doi.org/10.1117/12.809484

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