On the precision of diffusion/perfusion imaging by gradient sensitization.
Computer simulation is used to assess the precision and accuracy of diffusion and perfusion parameters derived from a set of gradient-sensitized images. Under ideal experimental conditions, a moderate signal-to-noise level (ca. 40) suffices to estimate diffusion coefficients to within 20% relative precision. However, estimation of a typical cerebral perfusion fraction of 5% to within 20% relative precision requires signal-to-noise levels of ca. 400. Simulations also show that systematic errors in perfusion fraction estimation, as well as underestimation of the uncertainties in perfusion parameters (by chi-squared analysis), will be found at moderate signal-to-noise levels.
Pekar
J
J
Biomedical Engineering and Instrumentation Program, National Center for Research Resources, National Institutes of Health, Bethesda, Maryland 20892.
Moonen
C T
CT
van Zijl
P C
PC
D000465:Algorithms; D003198:Computer Simulation; D004058:Diffusion; D006801:Humans; D009682:Magnetic Resonance Spectroscopy; D008833:Microcirculation / Q000502:physiology*; D008955:Models, Cardiovascular; D009010:Monte Carlo Method; D010477:Perfusion