Mesh optimization for Monte Carlo based optical tomography

Authors
Edmans, Andrew
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Other Contributors
Intes, Xavier
Wang, Ge, 1957-
Hahn, Juergen
Issue Date
2014-05
Keywords
Biomedical engineering
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Optical imaging is an essential pre-clinical tool, especially in small animal imaging, due to its high sensitivity and low costs. Techniques such as Fluorescence Molecular Tomography (FMT) allow for three dimensional quantification and visualization of molecular probes in vivo, providing important information in fields such as drug delivery. However, these techniques demand accurate forward models of light propagation in order to achieve accurate reconstructions. Monte Carlo (MC) methods simulate a large number of photons through discretized tissues in order to determine how light propagates between each source and detector pair. Recently, finite element methods have been used for the tissue discretizations, allowing for efficient computation and improved boundary accuracies. Using a mesh discretization also allows for strategic refining and coarsening of the elements to improve the computational demand of the process or the reconstruction accuracies.
Description
May 2014
School of Engineering
Department
Dept. of Biomedical Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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