Use of wavelet transforms in analysis of time-activity data from cardiac PET

Because of its intrinsic quantitative properties, PET permits measurement o f myocardial perfusion and metabolism in absolute terms (i.e., mL/g/min), H owever, quantification has been limited by errors produced in image acquisi tion, selection of regions of interest, and data analysis. The goal of this study was to evaluate a newly developed, novel, wavelet-based noise-reduct ion approach that can objectively extract biologic signals hidden within dy namic PET data. Methods: Quantification of myocardial perfusion using dynam ic PET imaging with Rb-82, (H2O)-O-15, and (NH3)-N-13 was selected to evalu ate the effects of the wavelet-based noise-reduction protocol. Dynamic PET data were fitted to appropriate mathematic models before and after wavelet- based noise reduction to get flow estimates. Time-activity curves, precisio n, accuracy, and differentiating capacity derived from the wavelet protocol were compared with those obtained from unmodified data processing, A total of 84 human studies was analyzed, including 43 at rest (18 Rb-82 scans, 18 (H2O)-O-15 scans, and 7 (NH3)-N-13 scans) and 41 after coronary hyperemia with dipyridamole (17 Rb-82 scans, 17 (H2O)-O-15 scans, and 7 (NH3)-N-13 sc ans). Results: For every tracer tested under all conditions, the wavelet me thod improved the shape of blood and tissue time-activity curves, increased estimate-to-error ratios, and maintained fidelity of flow in regions as sm all as 0.85 cm(3). It also improved the accuracy of flow estimates derived from Rb-82 to the level of that achieved with H(2)(15)0, which was not affe cted markedly by the wavelet process. In studies of patients with coronary disease, regional heterogeneity of myocardial perfusion was preserved and f low estimates in infarcted regions were differentiated more easily from nor mal regions. Conclusion: The wavelet-based noise-reduction method effective ly and objectively extracted tracer time-activity curves from data with low signal-to-noise ratios and improved the accuracy and precision of measurem ents with all tracer techniques studied. The approach should be generalizab le to other image modalities such as functional MRI and CT and, therefore, improve the ability to quantify dynamic physiologic processes.