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Proceedings Paper

Optimization of an adaptive SPECT system with the scanning linear estimator
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Paper Abstract

The adaptive single-photon emission computed tomography (SPECT) system studied here acquires an initial scout image to obtain preliminary information about the object. Then the configuration is adjusted by selecting the size of the pinhole and the magnification that optimize system performance on an ensemble of virtual objects generated to be consistent with the scout data. In this study the object is a lumpy background that contains a Gaussian signal with a variable width and amplitude. The virtual objects in the ensemble are imaged by all of the available configurations and the subsequent images are evaluated with the scanning linear estimator to obtain an estimate of the signal width and amplitude. The ensemble mean squared error (EMSE) on the virtual ensemble between the estimated and the true parameters serves as the performance figure of merit for selecting the optimum configuration. The results indicate that variability in the original object background, noise and signal parameters leads to a specific optimum configuration in each case. A statistical study carried out for a number of objects show that the adaptive system on average performs better than its nonadaptive counterpart.

Paper Details

Date Published: 27 August 2015
PDF: 9 pages
Proc. SPIE 9594, Medical Applications of Radiation Detectors V, 95940A (27 August 2015); doi: 10.1117/12.2195782
Show Author Affiliations
Nasrin Ghanbari, College of Optical Sciences, The Univ. of Arizona (United States)
Eric Clarkson, College of Optical Sciences, The Univ. of Arizona (United States)
Matthew A. Kupinski, College of Optical Sciences, The Univ. of Arizona (United States)
Xin Li, College of Optical Sciences, The Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 9594:
Medical Applications of Radiation Detectors V
H. Bradford Barber; Lars R. Furenlid; Hans N. Roehrig, Editor(s)

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