Cerebral blood flow measurement by dynamic contrast MRI using singular value decomposition with an adaptive threshold.
Singular value decomposition (SVD) is a promising deconvolution technique for use in dynamic contrast agent magnetic resonance perfusion imaging. Computer simulations, however, show that the selection of the threshold for SVD affects the accuracy of the cerebral blood flow measurements and may distort the shape of the vascular residue function. In this report, a pixel-by-pixel thresholding method is proposed based on the signal-to-noise ratio of the concentration time curve at maximum concentration (SNRC). Monte Carlo simulations were used to determine the optimal threshold for different SNRC. This technique was used to analyze data from six healthy volunteers, resulting in a mean gray to white matter cerebral blood flow ratio of 2.67 +/- 0.07. This value is in excellent agreement with values published in the literature.
Research Imaging Center, University of Texas Health Science Center at San Antonio, San Antonio 78284-6240, USA.
H L
HL
Liu
Y
Y
Pu
Y
Y
Liu
L
L
Nickerson
T
T
Andrews
P T
PT
Fox
J H
JH
Gao
D001783:Blood Flow Velocity / Q000502:physiology; D001921:Brain / Q000098:blood supply*; D001931:Brain Mapping / Q000295:instrumentation; D003198:Computer Simulation; D017352:Echo-Planar Imaging / Q000295:instrumentation; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation*; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation*; D009010:Monte Carlo Method; D012039:Regional Blood Flow / Q000502:physiology; D012680:Sensitivity and Specificity