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Proceedings Paper

High-resolution reconstruction of dynamic PET image sequences using a low-order approximation
Author(s): Chien-Min Kao; Jeffrey T. Yap; Miles N. Wernick
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Paper Abstract

Positron emission tomography (PET) is a medical imaging modality which produces valuable functional information, but is limited by the poor image quality it provides. Considerable attention has been payed to the problem of reconstructing images in a way that produces better image resolution and noise properties. In dynamic imaging applications PET data are particularly noisy, thus preventing successful recovery of spatial resolution by signal processing applications. In this paper we show that smoothing of image data using a low-order approximation along the time axis can greatly enhance restoration performance.

Paper Details

Date Published: 18 August 1995
PDF: 6 pages
Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); doi: 10.1117/12.216881
Show Author Affiliations
Chien-Min Kao, Univ. of Chicago (United States)
Jeffrey T. Yap, Univ. of Chicago (United States)
Miles N. Wernick, Illinois Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2622:
Optical Engineering Midwest '95
Rudolph P. Guzik, Editor(s)

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