Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1893
Title: Non-invasive extraction of physiological parameters in quantitative PET studies using simultaneous estimation and cluster analysis
Authors: Wong, Koon-pong
Feng, D. David
Meikle, Steven R.
Fulham, Michael J.
Subjects: Medical image processing
Parameter estimation
Physiological models
Positron emission tomography
Issue Date: 2001
Publisher: IEEE
Source: 2000 IEEE Nuclear Science Symposium conference record : October 15-20, 2000, Lyon, France, v. 3, p. 18/141 - 18/145.
Abstract: Quantitative PET studies usually require invasive blood sampling from a peripheral artery to obtain an input function for accurate modelling. However, blood sampling is impractical in clinical PET studies. We recently proposed a non-invasive modelling approach that can simultaneously estimate parameters which describe both the input and output functions using two or more regions of interest (ROIs). However, this approach is still limited by manual delineation of ROIs which is subjective and time-consuming. In this work, we present an extension to their method where ROI delineation is performed automatically by cluster analysis so that subjectivity is reduced while at the same time ensuring that the extracted time-activity curves have distinct kinetics. Our aim was to investigate the feasibility of using the kinetics extracted by cluster analysis for non-invasive quantification of physiological parameters. The estimates and the fitted curves obtained by simultaneous estimation are in good agreement with those obtained by model fitting with the measured input function (gold standard method). We conclude that cluster analysis is able to identify distinct kinetics and hence can be used for the non-invasive quantification of physiological parameters.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1893
DOI: 10.1109/NSSMIC.2000.949256
ISBN: 0-7803-6503-8
Appears in Collections:EIE Conference Papers & Presentations

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