Model-free arterial spin labeling quantification approach for perfusion MRI. Petersen, E. T., Lim, T., & Golay, X. Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine, 55(2):219--232, February, 2006. ![Model-free arterial spin labeling quantification approach for perfusion MRI [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{petersen_model-free_2006,
title = {Model-free arterial spin labeling quantification approach for perfusion {MRI}},
volume = {55},
issn = {0740-3194},
url = {http://www.ncbi.nlm.nih.gov/pubmed/16416430},
doi = {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.},
number = {2},
urldate = {2009-07-02},
journal = {Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine},
author = {Petersen, Esben Thade and Lim, Tchoyoson and Golay, Xavier},
month = feb,
year = {2006},
pmid = {16416430},
keywords = {ASL, methodology, CBV},
pages = {219--232},
file = {petersen2006.pdf:/Users/nickb/Zotero/storage/AQQWKFTJ/petersen2006.pdf:application/pdf;PubMed Snapshot:/Users/nickb/Zotero/storage/GPC3T4GD/16416430.html:text/html}
}
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