TY - JOUR
T1 - On the precision of diffusion/perfusion imaging by gradient sensitization
AU - Pekar, James
AU - Moonen, Chrit T.W.
AU - van Zijl, Peter C.M.
PY - 1992/1
Y1 - 1992/1
N2 - 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 understimation of the uncertainties in perfusion parameters (by X‐squared analysis), will be found at moderate signal‐to‐noise levels. © 1992 Academic Press, Inc.
AB - 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 understimation of the uncertainties in perfusion parameters (by X‐squared analysis), will be found at moderate signal‐to‐noise levels. © 1992 Academic Press, Inc.
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U2 - 10.1002/mrm.1910230113
DO - 10.1002/mrm.1910230113
M3 - Article
C2 - 1734174
AN - SCOPUS:0026584024
SN - 0740-3194
VL - 23
SP - 122
EP - 129
JO - Magnetic resonance in medicine
JF - Magnetic resonance in medicine
IS - 1
ER -