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18 August 1995 High-resolution reconstruction of dynamic PET image sequences using a low-order approximation
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Proceedings Volume 2622, Optical Engineering Midwest '95; (1995)
Event: Optical Engineering Midwest '95, 1995, Chicago, IL, United States
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chien-Min Kao, Jeffrey T. Yap, and Miles N. Wernick "High-resolution reconstruction of dynamic PET image sequences using a low-order approximation", Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995);

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