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23 February 2009 A parallel reduced-space sequential-quadratic programming algorithm for frequency-domain small animal optical tomography
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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