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dc.contributor.advisorClarkson, Ericen_US
dc.contributor.authorJimenez, Edward Steven
dc.creatorJimenez, Edward Stevenen_US
dc.date.accessioned2011-12-05T21:53:07Z
dc.date.available2011-12-05T21:53:07Z
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/10150/193566
dc.description.abstractThe objective of this work is to estimate and simulate organ uptake variability and correlations using measured data from the FastSPECT II Single Photon Emission Computed Tomography (SPECT) imaging system. We will investigate various methods that attempt to determine organ-uptake within a set of organs in a digital phantom; these methods include Region-of-Interest, Gauss-Markov, Wiener, and Reconstruction Estimation algorithms. In addition to the estimators, we will also test whether moving the phantom with respect to the imaging system and gathering multiple images from different positions will improve the performance of our estimators. The variations and correlations in the object will be modeled using Gaussian distributions with first and second-order statistics known exactly. We will present a mathematical formulation of this model, in a texture-free context, as well as some results on image-quality assessment. The object model will be the MOBY digital mouse phantom; the 4-D MOBY Mouse Model is a digital phantom developed by Paul Segars\citep{moby}, which provides a useful digital model for nuclear-medicine and CT imaging.
dc.language.isoenen_US
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.subjectestimationen_US
dc.subjectnuclearen_US
dc.subjectphantomen_US
dc.subjectsimulationen_US
dc.subjectSPECTen_US
dc.subjectuptakeen_US
dc.titleSimulation and Estimation of Organ Uptake in a Digital Mouse Phantomen_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.contributor.chairClarkson, Ericen_US
dc.identifier.oclc752261174en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberBarrett, Harrison H.en_US
dc.contributor.committeememberKupinski, Matthewen_US
dc.identifier.proquest11323en_US
thesis.degree.disciplineApplied Mathematicsen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2018-08-24T18:37:15Z
html.description.abstractThe objective of this work is to estimate and simulate organ uptake variability and correlations using measured data from the FastSPECT II Single Photon Emission Computed Tomography (SPECT) imaging system. We will investigate various methods that attempt to determine organ-uptake within a set of organs in a digital phantom; these methods include Region-of-Interest, Gauss-Markov, Wiener, and Reconstruction Estimation algorithms. In addition to the estimators, we will also test whether moving the phantom with respect to the imaging system and gathering multiple images from different positions will improve the performance of our estimators. The variations and correlations in the object will be modeled using Gaussian distributions with first and second-order statistics known exactly. We will present a mathematical formulation of this model, in a texture-free context, as well as some results on image-quality assessment. The object model will be the MOBY digital mouse phantom; the 4-D MOBY Mouse Model is a digital phantom developed by Paul Segars\citep{moby}, which provides a useful digital model for nuclear-medicine and CT imaging.


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