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dc.creatorKuslich, Lars
dc.date.accessioned2017-10-10T20:27:07Z
dc.date.available2017-10-10T20:27:07Z
dc.date.created2015-05
dc.date.issued2014-09-22
dc.date.submittedMay 2015
dc.identifier.urihttps://hdl.handle.net/1969.1/164470
dc.description.abstractMonte Carlo Simulations use random number generators and aggregation in order to numerically solve various real-world problems that are too difficult to solve analytically. They are currently the gold standard for simulating photon transport through tissues, and with the adoption of GPU computing, a program by the name of Monte Carlo eXtreme can run these simulations faster than ever. However, this program still lacks several features that would be useful to researchers, such as fluorescent material support and easy simulation of multiple wavelengths. I have added the multi-wavelength feature to MCX, and I have started the process of adding a feature that will allow researchers to easily model fluorescence materials. Although more testing is required, I have laid the foundations of a program that is more readily useful and robust while retaining the speed increases afforded by GPU computing.en
dc.format.mimetypeapplication/pdf
dc.subjectMonte Carloen
dc.subjectGPUen
dc.subjectPhotonen
dc.titleImproving Monte Carlo Program for Light Transport in Tissueen
dc.typeThesisen
thesis.degree.departmentBiomedical Engineeringen
thesis.degree.disciplineBiomedical Engineeringen
thesis.degree.grantorUndergraduate Research Scholars Programen
dc.contributor.committeeMemberMcShane, Michael J
dc.type.materialtexten
dc.date.updated2017-10-10T20:27:07Z


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