| Literature DB >> 3265103 |
Abstract
A non-stationary spatial low pass filter was developed and implemented in combination with an accelerated non-linear curve fitting routine to create low noise-high contrast images of physiological parameters with dynamic positron emission tomography. The method was applied to 18F-2-fluoro-2-deoxyglucose (FDG) studies, and images of local blood volume, kinetic rate constants, precursor pool volume and glucose metabolism were generated. Noise reduction and contrast preservation was demonstrated in a simulated pie phantom and a study of a patient with a recent brain infarct. Considerably improvement in quantitative accuracy of pixel parameter values was observed in the phantom study in comparison with unprocessed or conventionally smoothed images.Entities:
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Year: 1988 PMID: 3265103 DOI: 10.1007/bf00252392
Source DB: PubMed Journal: Eur J Nucl Med ISSN: 0340-6997