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Proceedings Paper

Experimental task-based optimization of a four-camera variable-pinhole small-animal SPECT system
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Paper Abstract

We have previously utilized lumpy object models and simulated imaging systems in conjunction with the ideal observer to compute figures of merit for hardware optimization. In this paper, we describe the development of methods and phantoms necessary to validate or experimentally carry out these optimizations. Our study was conducted on a four-camera small-animal SPECT system that employs interchangeable pinhole plates to operate under a variety of pinhole configurations and magnifications (representing optimizable system parameters). We developed a small-animal phantom capable of producing random backgrounds for each image sequence. The task chosen for the study was the detection of a 2mm diameter sphere within the phantom-generated random background. A total of 138 projection images were used, half of which included the signal. As our observer, we employed the channelized Hotelling observer (CHO) with Laguerre-Gauss channels. The signal-to-noise (SNR) of this observer was used to compare different system configurations. Results indicate agreement between experimental and simulated data with higher detectability rates found for multiple-camera, multiple-pinhole, and high-magnification systems, although it was found that mixtures of magnifications often outperform systems employing a single magnification. This work will serve as a basis for future studies pertaining to system hardware optimization.

Paper Details

Date Published: 6 April 2005
PDF: 10 pages
Proc. SPIE 5749, Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment, (6 April 2005); doi: 10.1117/12.594386
Show Author Affiliations
Jacob Y. Hesterman, Optical Sciences Ctr./The Univ. of Arizona (United States)
Matthew A. Kupinski, Optical Sciences Ctr./The Univ. of Arizona (United States)
The Univ. of Arizona (United States)
Lars R. Furenlid, Optical Sciences Ctr./The Univ. of Arizona (United States)
Donald W. Wilson, Optical Sciences Ctr./The Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 5749:
Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment
Miguel P. Eckstein; Yulei Jiang, Editor(s)

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