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Proceedings Paper

Evaluation of hardware in a small-animal SPECT system using reconstructed images
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Paper Abstract

Evaluation of imaging hardware represents a vital component of system design. In small-animal SPECT imaging, this evaluation has become increasingly diffcult with the emergence of multi-pinhole apertures and adaptive, or patient-specific, imaging. This paper will describe two methods for hardware evaluation using reconstructed images. The first method is a rapid technique incorporating a system-specific non-linear, three-dimensional point response. This point response is easily computed and offers qualitative insight into an aperture's resolution and artifact characteristics. The second method is an objective assessment of signal detection in lumpy backgrounds using the channelized Hotelling observer (CHO) with 3D Laguerre-Gauss and difference-of-Gaussian channels to calculate area under the receiver-operating characteristic curve (AUC). Previous work presented at this meeting described a unique, small-animal SPECT system (M3R) capable of operating under a myriad of hardware configurations and ideally suited for image quality studies. Measured system matrices were collected for several hardware configurations of M3R. The data used to implement these two methods was then generated by taking simulated objects through the measured system matrices. The results of these two methods comprise a combination of qualitative and quantitative analysis that is well-suited for hardware assessment.

Paper Details

Date Published: 21 March 2007
PDF: 10 pages
Proc. SPIE 6515, Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment, 65151G (21 March 2007); doi: 10.1117/12.709730
Show Author Affiliations
Jacob Y. Hesterman, College of Optical Sciences, Univ. of Arizona (United States)
Matthew A. Kupinski, College of Optical Sciences, Univ. of Arizona (United States)
Univ. of Arizona (United States)
Eric Clarkson, College of Optical Sciences, Univ. of Arizona (United States)
Univ. of Arizona (United States)
Donald W. Wilson, Univ. of Arizona (United States)
Harrison H. Barrett, College of Optical Sciences, Univ. of Arizona (United States)
Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 6515:
Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment
Yulei Jiang; Berkman Sahiner, Editor(s)

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