Paper
13 March 2013 Towards diffuse optical tomography of arbitrarily heterogeneous turbid medium using GPU-accelerated Monte-Carlo forward calculation
Author Affiliations +
Proceedings Volume 8574, Multimodal Biomedical Imaging VIII; 85740O (2013) https://doi.org/10.1117/12.2001970
Event: SPIE BiOS, 2013, San Francisco, California, United States
Abstract
At present, the most widely accepted forward model in diffuse optical tomography (DOT) is the diffusion equation, which is derived from the radiative transfer equation by employing the P1 approximation. However, due to its validity restricted to highly scattering regions, this model has several limitations for the whole-body imaging of small-animals, where some cavity and low scattering areas exist. To overcome the difficulty, we presented a Graphic-Processing- Unit(GPU) implementation of Monte-Carlo (MC) modeling for photon migration in arbitrarily heterogeneous turbid medium, and, based on this GPU-accelerated MC forward calculation, developed a fast, universal DOT image reconstruction algorithm. We experimentally validated the proposed method using a continuous-wave DOT system in the photon-counting mode and a cylindrical phantom with a cavity inclusion.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xi Yi, Weiting Chen, Linhui Wu, Wei Zhang, Jiao Li, Xin Wang, Limin Zhang, Huijuan Zhao, and Feng Gao "Towards diffuse optical tomography of arbitrarily heterogeneous turbid medium using GPU-accelerated Monte-Carlo forward calculation", Proc. SPIE 8574, Multimodal Biomedical Imaging VIII, 85740O (13 March 2013); https://doi.org/10.1117/12.2001970
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Scattering

Absorption

Algorithm development

Diffuse optical tomography

Reconstruction algorithms

Sensors

Computer simulations

Back to Top