Matrix Method for Modeling Fluence Distributions in Anisotropic Scattering Media

dc.contributor.advisorZemp, Roger (Electrical Engineering)
dc.contributor.authorMcIntyre, Thomas J
dc.contributor.otherRathee, Satyapal (Medical Physics)
dc.contributor.otherZemp, Roger (Electrical Engineering)
dc.contributor.otherFedosejevs, Robert (Electrical Engineering)
dc.date.accessioned2025-05-28T23:02:19Z
dc.date.available2025-05-28T23:02:19Z
dc.date.issued2014-11
dc.description.abstractDetermining the optical fluence from any source in highly scattering tissue can be a time consuming process. Previous methods have either been shown to be costly in terms of time, or produce erroneous results. Herein, the Matrix Method is proposed. This method attempts to use matrices to propagate the radiance through a highly scattering medium, returning the fluence distribution. This method is compared to the gold standard in photon transport, the Monte Carlo Method. The isotropic point source and the pencil beam simulations are used as tests. It is shown that the results from Matrix Method are similar to Monte Carlo far from the source, and that the times required for it to run are short. As well, no stochastic errors common to Monte Carlo are present in the Matrix Method.
dc.identifier.doihttps://doi.org/10.7939/R32V2CH23
dc.language.isoen
dc.rightsThis thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
dc.subjectLight Scattering
dc.subjectMonte Carlo Photon Transport
dc.subjectBiophotonics
dc.titleMatrix Method for Modeling Fluence Distributions in Anisotropic Scattering Media
dc.typehttp://purl.org/coar/resource_type/c_46ec
thesis.degree.disciplineBiomedical Engineering
thesis.degree.grantorhttp://id.loc.gov/authorities/names/n79058482
thesis.degree.levelMaster's
thesis.degree.nameMaster of Science
ual.date.graduationFall 2014
ual.departmentDepartment of Electrical and Computer Engineering
ual.jupiterAccesshttp://terms.library.ualberta.ca/public

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