Quantification of myocardial perfusion in human subjects using 82Rb and wavelet-based noise reduction. Export

@article{citeulike:2619722, abstract = {Quantification of myocardial perfusion with 82Rb has been difficult to achieve because of the low signal-to-noise ratio of the dynamic data curves. This study evaluated the accuracy of flow estimates after the application of a novel multidimensional wavelet-based noise-reduction protocol. METHODS: Myocardial perfusion was estimated using 82Rb and a two-compartment model from dynamic PET scans on 11 healthy volunteers at rest and after hyperemic stress with dipyridamole. Midventricular planes were divided into eight regions of interest, and a wavelet transform protocol was applied to images and time-activity curves. Flow estimates without and with the wavelet approach were compared with those obtained using H2(15)O. RESULTS: Over a wide flow range (0.45-2.75 mL/g/min), flow achieved with the wavelet approach correlated extremely closely with values obtained with H2(15)O (y = 1.03 x -0.12; n = 23 studies, r = 0.94, P < 0.001). If the wavelet noise-reduction technique was not used, the correlation was less strong (y = 1.11 x + 0.24; n = 23 studies, r = 0.79, P < 0.001). In addition, the wavelet approach reduced the regional variation from 75\% to 12\% and from 62\% to 11\% (P < 0.001 for each comparison) for resting and stress studies, respectively. CONCLUSION: The use of a wavelet protocol allows near-optimal noise reduction, markedly enhances the physiologic flow signal within the PET images, and enables accurate measurement of myocardial perfusion with 82Rb in human subjects over a wide range of flows.}, address = {Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York 10032, USA.}, author = {Lin, J. W. and Sciacca, R. R. and Chou, R. L. and Laine, A. F. and Bergmann, S. R.}, citeulike-article-id = {2619722}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/11216517}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=11216517}, issn = {0161-5505}, journal = {J Nucl Med}, keywords = {cardiac, denoising, human, rubidium, wavelet}, month = {February}, number = {2}, pages = {201--208}, posted-at = {2008-04-01 14:14:03}, priority = {2}, title = {Quantification of myocardial perfusion in human subjects using 82Rb and wavelet-based noise reduction.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11216517}, volume = {42}, year = {2001} }

TY - JOUR ID - citeulike:2619722 L3 - citeulike-article-id:2619722 N2 - Quantification of myocardial perfusion with 82Rb has been difficult to achieve because of the low signal-to-noise ratio of the dynamic data curves. This study evaluated the accuracy of flow estimates after the application of a novel multidimensional wavelet-based noise-reduction protocol. METHODS: Myocardial perfusion was estimated using 82Rb and a two-compartment model from dynamic PET scans on 11 healthy volunteers at rest and after hyperemic stress with dipyridamole. Midventricular planes were divided into eight regions of interest, and a wavelet transform protocol was applied to images and time-activity curves. Flow estimates without and with the wavelet approach were compared with those obtained using H2(15)O. RESULTS: Over a wide flow range (0.45-2.75 mL/g/min), flow achieved with the wavelet approach correlated extremely closely with values obtained with H2(15)O (y = 1.03 x -0.12; n = 23 studies, r = 0.94, P < 0.001). If the wavelet noise-reduction technique was not used, the correlation was less strong (y = 1.11 x + 0.24; n = 23 studies, r = 0.79, P < 0.001). In addition, the wavelet approach reduced the regional variation from 75% to 12% and from 62% to 11% (P < 0.001 for each comparison) for resting and stress studies, respectively. CONCLUSION: The use of a wavelet protocol allows near-optimal noise reduction, markedly enhances the physiologic flow signal within the PET images, and enables accurate measurement of myocardial perfusion with 82Rb in human subjects over a wide range of flows. IS - 2 JF - J Nucl Med SN - 0161-5505 AD - Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York 10032, USA. EP - 208 TI - Quantification of myocardial perfusion in human subjects using 82Rb and wavelet-based noise reduction. VL - 42 SP - 201 KW - cardiac KW - denoising KW - human KW - rubidium KW - wavelet AU - Lin, JW AU - Sciacca, RR AU - Chou, RL AU - Laine, AF AU - Bergmann, SR PY - 2001/02// UR - http://view.ncbi.nlm.nih.gov/pubmed/11216517 ER -