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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7174
DOIs
Publication statusPublished - 2009
EventOptical Tomography and Spectroscopy of Tissue VIII - San Jose, CA, United States
Duration: Jan 25 2009Jan 27 2009

Other

OtherOptical Tomography and Spectroscopy of Tissue VIII
CountryUnited States
CitySan Jose, CA
Period1/25/091/27/09

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Keywords

  • Equation of radiative transfer
  • Optical tomography
  • Parallel
  • PDE-constrained optimization

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Gu, X., Kim, H. K., Masciotti, J., & Hielscher, A. H. (2009). A parallel reduced-space sequential-quadratic programming algorithm for frequency-domain small animal optical tomography. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7174). [717406] https://doi.org/10.1117/12.809484