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 language | English (US) |
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Title of host publication | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
Volume | 7174 |
DOIs | |
State | Published - 2009 |
Event | Optical Tomography and Spectroscopy of Tissue VIII - San Jose, CA, United States Duration: Jan 25 2009 → Jan 27 2009 |
Other
Other | Optical Tomography and Spectroscopy of Tissue VIII |
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Country/Territory | United States |
City | San Jose, CA |
Period | 1/25/09 → 1/27/09 |
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