title: Quantification of myocardial perfusion in human subjects using 82Rb and wavelet-based noise reduction.
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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York 10032, USA.
authors.forename: J W
authors.initials: JW
authors.lastname: Lin
authors.forename: R R
authors.initials: RR
authors.lastname: Sciacca
authors.forename: R L
authors.initials: RL
authors.lastname: Chou
authors.forename: A F
authors.initials: AF
authors.lastname: Laine
authors.forename: S R
authors.initials: SR
authors.lastname: Bergmann
mesh_terms: D000328:Adult; D000368:Aged; D003326:Coronary Circulation; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D012414:Rubidium Radioisotopes; D014055:Tomography, Emission-Computed
chemical_list: D012414:Rubidium Radioisotopes