Model‐free arterial spin labeling quantification approach for perfusion MRI
Open Access
- 13 January 2006
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 55 (2), 219-232
- https://doi.org/10.1002/mrm.20784
Abstract
In this work a model-free arterial spin labeling (ASL) quantification approach for measuring cerebral blood flow (CBF) and arterial blood volume (aBV) is proposed. The method is based on the acquisition of a train of multiple images following the labeling scheme. Perfusion is obtained using deconvolution in a manner similar to that of dynamic susceptibility contrast (DSC) MRI. Local arterial input functions (AIFs) can be estimated by subtracting two perfusion-weighted images acquired with and without crusher gradients, respectively. Furthermore, by knowing the duration of the bolus of tagged arterial blood, one can estimate the aBV on a voxel-by-voxel basis. The maximum of the residue function obtained from the deconvolution of the tissue curve by the AIF is a measure of CBF after scaling by the locally estimated aBV. This method provides averaged gray matter (GM) perfusion values of 38 ± 2 ml/min/100 g and aBV of 0.93% ± 0.06%. The average CBF value is 10% smaller than that obtained on the same data set using the standard general kinetic model (42 ± 2 ml/min/100 g). Monte Carlo simulations were performed to compare this new methodology with parametric fitting by the conventional model. Magn Reson Med, 2006.This publication has 39 references indexed in Scilit:
- Flow Territory Mapping of the Cerebral Arteries With Regional Perfusion MRIStroke, 2004
- Quantification of bolus-tracking MRI: Improved characterization of the tissue residue function using Tikhonov regularizationMagnetic Resonance in Medicine, 2003
- Tracer arrival timing‐insensitive technique for estimating flow in MR perfusion‐weighted imaging using singular value decomposition with a block‐circulant deconvolution matrixMagnetic Resonance in Medicine, 2003
- Comparison of the dependence of blood R2 and R on oxygen saturation at 1.5 and 4.7 TeslaMagnetic Resonance in Medicine, 2002
- Cerebral venous and arterial blood volumes can be estimated separately in humans using magnetic resonance imagingMagnetic Resonance in Medicine, 2002
- Two-Compartment Exchange Model for Perfusion Quantification Using Arterial Spin TaggingJournal of Cerebral Blood Flow & Metabolism, 2001
- High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysisMagnetic Resonance in Medicine, 1996
- A Model for Quantification of Perfusion in Pulsed Labelling TechniquesNMR in Biomedicine, 1996
- A deconvolution method for evaluating indicator-dilution curvesPhysics in Medicine & Biology, 1994
- The Levenberg-Marquardt algorithm: Implementation and theoryPublished by Springer Science and Business Media LLC ,1978