Simulation and Analysis of an Adaptive SPECT Imaging System for Tumor Estimation

Persistent Link:
http://hdl.handle.net/10150/144580
Title:
Simulation and Analysis of an Adaptive SPECT Imaging System for Tumor Estimation
Author:
Trumbull, Tara
Issue Date:
2011
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
We have developed a simulation of the AdaptiSPECT small-animal Single Photon Emission Computed Tomography (SPECT) imaging system. The simulation system is entitled SimAdaptiSPECT and is written in C, NVIDIA CUDA, and Matlab. Using this simulation, we have accomplished an analysis of the Scanning Linear Estimation (SLE) technique for estimating tumor parameters, and calculated sensitivity information for AdaptiSPECT configurations.SimAdaptiSPECT takes, as input, simulated mouse phantoms (generated by MOBY) contained in binary files and AdaptiSPECT configuration geometry contained in ASCII text files. SimAdaptiSPECT utilizes GPU parallel processing to simulate AdaptiSPECT images. SimAdaptiSPECT also utilizes GPU parallel processing to perform 3-D image reconstruction from 2-D AdaptiSPECT camera images (real or simulated), using a novel variant of the Ordered Subsets Expectation Maximization (OSEM) algorithm. Methods for generating the inputs, such as a population of randomly varying numerical mouse phantoms with randomly varying hepatic lesions, are also discussed.
Type:
Electronic Thesis; text
Keywords:
Adaptive Imaging; GPU; Simulation; SLE; Small-animal imaging; SPECT
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Optical Sciences
Degree Grantor:
University of Arizona
Advisor:
Kupinski, Matthew

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleSimulation and Analysis of an Adaptive SPECT Imaging System for Tumor Estimationen_US
dc.creatorTrumbull, Taraen_US
dc.contributor.authorTrumbull, Taraen_US
dc.date.issued2011-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractWe have developed a simulation of the AdaptiSPECT small-animal Single Photon Emission Computed Tomography (SPECT) imaging system. The simulation system is entitled SimAdaptiSPECT and is written in C, NVIDIA CUDA, and Matlab. Using this simulation, we have accomplished an analysis of the Scanning Linear Estimation (SLE) technique for estimating tumor parameters, and calculated sensitivity information for AdaptiSPECT configurations.SimAdaptiSPECT takes, as input, simulated mouse phantoms (generated by MOBY) contained in binary files and AdaptiSPECT configuration geometry contained in ASCII text files. SimAdaptiSPECT utilizes GPU parallel processing to simulate AdaptiSPECT images. SimAdaptiSPECT also utilizes GPU parallel processing to perform 3-D image reconstruction from 2-D AdaptiSPECT camera images (real or simulated), using a novel variant of the Ordered Subsets Expectation Maximization (OSEM) algorithm. Methods for generating the inputs, such as a population of randomly varying numerical mouse phantoms with randomly varying hepatic lesions, are also discussed.en_US
dc.typeElectronic Thesisen_US
dc.typetexten_US
dc.subjectAdaptive Imagingen_US
dc.subjectGPUen_US
dc.subjectSimulationen_US
dc.subjectSLEen_US
dc.subjectSmall-animal imagingen_US
dc.subjectSPECTen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineOptical Sciencesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorKupinski, Matthewen_US
dc.contributor.committeememberClarkson, Ericen_US
dc.contributor.committeememberFurenlid, Larsen_US
dc.contributor.committeememberBarrett, Harrison Hen_US
dc.identifier.proquest11372-
dc.identifier.oclc752261298-
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