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High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results
Abstract
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.
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Cited by
Batchelor, T. T., Sorensen, A. G., di Tomaso, E., Zhang, W.-T., Duda, D. G., Cohen, K. S., Kozak, K. R., Cahill, D. P., Chen, P.-J., Zhu, M., et al. (2007) · Cancer Cell · doi:10.1016/j.ccr.2006.11.021 · Cited by 1,769
Self-citationMethodology of brain perfusion imaging
Barbier, E. L., Lamalle, L., & Décorps, M. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1073 · Cited by 404
Perfusion Thresholds in Human Cerebral Ischemia: Historical Perspective and Therapeutic Implications
Baron, J.-C. (2001) · Cerebrovascular Diseases · doi:10.1159/000049119 · Cited by 352
Yarkoni, T., Barch, D. M., Gray, J. R., Conturo, T. E., & Braver, T. S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004257 · Cited by 312
Law, M., Saindane, A. M., Ge, Y., Babb, J. S., Johnson, G., Mannon, L. J., Herbert, J., & Grossman, R. I. (2004) · Radiology · doi:10.1148/radiol.2313030996 · Cited by 242
Nielsen, R. B., Egefjord, L., Angleys, H., Mouridsen, K., Gejl, M., Møller, A., Brock, B., Brændgaard, H., Gottrup, H., Rungby, J., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.02.007 · Cited by 119
Self-citationLuckhaus, C., Flüß, M. O., Wittsack, H.-J., Grass-Kapanke, B., Jänner, M., Khalili-Amiri, R., Friedrich, W., Supprian, T., Gaebel, W., Mödder, U., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.053 · Cited by 88
Stone, J. R., Avants, B. B., Tustison, N. J., Wassermann, E. M., Gill, J., Polejaeva, E., Dell, K. C., Carr, W., Yarnell, A. M., LoPresti, M. L., et al. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2020.7141 · Cited by 81
Metadata
- Authors
- Østergaard, L., Sorensen, A. G., Kwong, K. K., Weisskoff, R. M., Gyldensted, C., & Rosen, B. R.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1996-11
- Volume
- 36
- Issue
- 5
- Pages
- 726-736
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2157589417
- Cited by
- 810
- References
- 0
- FWCI
- 19.19
- Type
- journal article
- Language
- en
- Open access
- closed
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