Js. Lee et al., Blind separation of cardiac components and extraction of input function from (H2O)-O-15 dynamic myocardial PET using independent component analysis, J NUCL MED, 42(6), 2001, pp. 938-943
Citations number
20
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Medical Research Diagnosis & Treatment
The independent component analysis (ICA) method is suggested to be useful f
or separation of the ventricles and the myocardium and for extraction of th
e left ventricular input function from the dynamic (H2O)-O-15 myocardial PE
T. The ICA-generated input function was validated with the sampling method,
and the myocardial blood flow (MBF) calculated with this input function wa
s compared with the microsphere results. Methods: We assumed that the eleme
ntary activities of the ventricular pools and the myocardium were spatially
independent and that the mixture of them composed dynamic PET image frames
. The independent components were estimated by recursively minimizing the m
utual information (measure of dependence) between the components. The ICA-g
enerated input functions were compared with invasively derived arterial blo
od samples. Moreover, the regional MBF calculated using the ICA-generated i
nput functions and single-compartment model was correlated with the results
obtained from the radiolabeled microspheres. Results: The ventricles and t
he myocardium were successfully separated in all cases within a short compu
tation time (<15 s). The ICA-generated input functions displayed shapes sim
ilar to those obtained by arterial sampling except that they had a smoother
tail than those obtained by sampling, which meant that ICA removed the sta
tistical noise from the time-activity curves. The ICA-generated input funct
ion showed a longer time delay of peaks than those obtained by arterial sam
pling. MBFs estimated using the ICA-generated input functions ranged from 1
.10 to approximately 2.52 mL/min/g at rest and from 1.69 to approximately 8
.00 mL/min/g after stress and correlated well with those calculated with mi
crospheres (y = 0.45 + 0.98x; r = 0.95, P < 0.000). Conclusion: ICA, a rapi
d and reliable method for extraction of the pure physiologic components, wa
s a valid and useful method for quantification of the regional MBF using (H
2O)-O-15 PET.