UNLABELLED: Regional myocardial blood flow (MBF) can be measured with 15O-water and PET using the 1-tissue-compartment model with perfusable tissue fraction, which provides an MBF value that is free from the partial-volume effect. Studies with 15O-water have several advantages, such as the ability to repeat a scan. However, because of the short scanning time and the small distribution volume of 15O-water in the myocardium, the image quality of 15O-water is limited, impeding the computation of MBF and perfusable tissue fraction at the voxel level. We implemented the basis function method for generating parametric images of MBF, perfusable tissue fraction, and arterial blood volume (Va) with 15O-water and PET. The basis function method linearizes the solution of the 1-tissue-compartment model, which results in a computationally much faster method than the conventional nonlinear least-squares fitting method in estimating the parameters. METHODS: To validate the basis function method, we performed a series of PET studies on miniature pigs (n = 7). After acquisition of the transmission scan for attenuation correction and the 15O-CO scan for obtaining the blood-pool image, repeated PET scans with 15O-water were obtained with varying doses of adenosine or CGS-21680 (selective adenosine A(2a) receptor agonist). MBF, perfusable tissue fraction, and Va values of the myocardial region for each scan were computed using the basis function method and the nonlinear least-squares method, and the parameters estimated by the 2 methods were compared. RESULTS: MBF images generated by the basis function method demonstrated an increase in blood flow after administration of adenosine or CGS-21680. The MBF values estimated by the basis function method and by the nonlinear least-squares method correlated strongly. CONCLUSION: The basis function method produces parametric images of MBF, perfusable tissue fraction, and Va with 15O-water and PET. These images will be useful in detecting regional myocardial perfusion abnormalities.
UNLABELLED: Regional myocardial blood flow (MBF) can be measured with 15O-water and PET using the 1-tissue-compartment model with perfusable tissue fraction, which provides an MBF value that is free from the partial-volume effect. Studies with 15O-water have several advantages, such as the ability to repeat a scan. However, because of the short scanning time and the small distribution volume of 15O-water in the myocardium, the image quality of 15O-water is limited, impeding the computation of MBF and perfusable tissue fraction at the voxel level. We implemented the basis function method for generating parametric images of MBF, perfusable tissue fraction, and arterial blood volume (Va) with 15O-water and PET. The basis function method linearizes the solution of the 1-tissue-compartment model, which results in a computationally much faster method than the conventional nonlinear least-squares fitting method in estimating the parameters. METHODS: To validate the basis function method, we performed a series of PET studies on miniature pigs (n = 7). After acquisition of the transmission scan for attenuation correction and the 15O-CO scan for obtaining the blood-pool image, repeated PET scans with 15O-water were obtained with varying doses of adenosine or CGS-21680 (selective adenosine A(2a) receptor agonist). MBF, perfusable tissue fraction, and Va values of the myocardial region for each scan were computed using the basis function method and the nonlinear least-squares method, and the parameters estimated by the 2 methods were compared. RESULTS: MBF images generated by the basis function method demonstrated an increase in blood flow after administration of adenosine or CGS-21680. The MBF values estimated by the basis function method and by the nonlinear least-squares method correlated strongly. CONCLUSION: The basis function method produces parametric images of MBF, perfusable tissue fraction, and Va with 15O-water and PET. These images will be useful in detecting regional myocardial perfusion abnormalities.
Authors: Hendrik J Harms; Paul Knaapen; Stefan de Haan; Rick Halbmeijer; Adriaan A Lammertsma; Mark Lubberink Journal: Eur J Nucl Med Mol Imaging Date: 2011-01-27 Impact factor: 9.236