Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1889
Title: A knowledge-based image smoothing technique for dynamic PET studies
Authors: Cai, Weidong
Feng, D. David
Fulton, Roger
Subjects: Knowledge based systems
Medical image processing
Noise
Positron emission tomography
Smoothing methods
Issue Date: 2001
Publisher: IEEE
Source: 2000 IEEE Nuclear Science Symposium conference record : October 15-20, 2000, Lyon, France, v. 3, p. 18/114 - 18/117.
Abstract: Many techniques have been proposed to reduce image noise in dynamic positron emission tomography (PET) imaging. However, these smoothing methods are usually based on the spatial domain and local statistical properties. Smoothing algorithms specifically designed for dynamic image data have not previously been investigated in detail. We present a knowledge-based smoothing technique that aims to diminish the noise and improve the quality of the dynamic images. By taking advantage of domain specific physiological kinetic knowledge, this technique can provide dynamic images with high noise reduction while preserving edges and subtle details.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1889
DOI: 10.1109/NSSMIC.2000.949248
ISBN: 0-7803-6503-8
Appears in Collections:EIE Conference Papers & Presentations

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