JOU-WEI LINLaine, A FA FLaineAkinboboye, OOAkinboboyeBergmann, S RS RBergmann2023-04-252023-04-252001-020161-5505https://scholars.lib.ntu.edu.tw/handle/123456789/630544Because 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.enData analysis | Myocardial blood flow | Noise reduction | Quantitative PETjournal article112165162-s2.0-0035130331https://api.elsevier.com/content/abstract/scopus_id/0035130331