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Optimal collimator design using Monte Carlo Simulation and RSM for breast scintigraphy

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dc.contributor Graduate Program in Biomedical Engineering.
dc.contributor.advisor Güveniş, Albert. Bilgin, Barış. 2023-03-16T13:15:03Z 2023-03-16T13:15:03Z 2006.
dc.identifier.other BM 2006 B55
dc.description.abstract Scintimammography can be a useful adjunct to physical examination andmammography for the detection and characterization of breast tumors, especially forpatients with dense breast tissue, architectural distortion of the breast, breast implant or with equivocal mammography. However, one major limitation of Scintimammography isits poor sensitivity and image quality for small lesions (<1.5cm). The aim of this work isto optimize the collimator parameters of a Scintimammography system to achieve betterimage quality by using Monte Carlo Simulation and the Response Surface Method. Two software packages have been used for this purpose: SIMIND is a Monte CarloSimulation program developed by Dr. Michael Ljungberg. NCSS is a statistical analysissoftware package used for the Response Surface Method (RSM). Monte Carlo has awide usage in nuclear medicine imaging, however RSM has not been used much in this area. RSM stems from science disciplines in which experiments are performed to studythe unknown relation between a set of variables and the system output, or response. Weran SIMIND to simulate a planar gamma camera system and carry out the experiments.NCSS was used for the optimization process. The SNR (signal-to-noise ratio) is selectedas the detectability index. A MATLAB program was written to compute SNR valuesfrom the outputs of SIMIND. The breast was modeled as a cylinder full of water and aspherical lesion with a diameter of 0.3 cm. Our results show that for a constant septa sizeof 0.02 cm, we can obtain optimum detectability when the diameter is 0.132 cm and collimator length is 1.449.|Keywords: Scintimammography, Monte Carlo simulations, Response Surface Methods, Collimator Optimization.
dc.format.extent 30cm.
dc.publisher Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2006.
dc.relation Includes appendices.
dc.relation Includes appendices.
dc.subject.lcsh Monte Carlo method.
dc.subject.lcsh Radioisotope scanning.
dc.subject.lcsh Nuclear medicine.
dc.title Optimal collimator design using Monte Carlo Simulation and RSM for breast scintigraphy
dc.format.pages xi, 60 leaves;

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