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pubmed:abstractText |
Because of its intrinsic quantitative properties, PET permits measurement of myocardial perfusion and metabolism in absolute terms (i.e., mL/g/min). However, quantification has been limited by errors produced in image acquisition, selection of regions of interest, and data analysis. The goal of this study was to evaluate a newly developed, novel, wavelet-based noise-reduction approach that can objectively extract biologic signals hidden within dynamic PET data.
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pubmed:affiliation |
Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York 10032, USA.
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