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High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results
Author(s) -
Østergaard Leif,
Sorensen Alma Gregory,
Kwong Kenneth K.,
Weisskoff Robert M.,
Gyldensted Carsten,
Rosen Bruce R.
Publication year - 1996
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910360511
Subject(s) - deconvolution , cerebral blood flow , singular value decomposition , bolus (digestion) , nuclear medicine , parametric statistics , nonparametric statistics , mathematics , biomedical engineering , nuclear magnetic resonance , medicine , computer science , artificial intelligence , algorithm , physics , cardiology , statistics
This report evaluates several methods to map relative cerebral blood flow (rCBF) by applying both parametric and non‐parametric techniques to deconvolve high resolution dynamic MRI measurements of paramagnetic bolus passages with noninvasively determined arterial inputs. We found a nonparametric (singular value decomposition (SVD)) deconvolution technique produced the most robust results, giving mean gray:white flow ratio of 2.7 ± 0.5 (SEM) in six normal volunteers, in excellent agreement with recent PET literature values for age‐matched subjects. Similar results were obtained by using a model‐dependent approach that assumes an exponential residue function, but not for a Gaussian‐shaped residue function or for either Fourier or regularization‐based model‐independent approaches. Pilot studies of our CBF mapping techniques in patients with tumor, stroke, and migraine aura demonstrated that these techniques can be readily used on data routinely acquired by using current echo planar imaging technology. By using these techniques, the authors visualized important regional hemodynamic changes not detectable with rCBV mapping algorithms.