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Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data

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Standard

Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data. / Østergaard, Leif; Chesler, D A; Weisskoff, R M; Sorensen, A G; Rosen, B R.

I: Journal of Cerebral Blood Flow and Metabolism, Bind 19, Nr. 6, 1999, s. 690-9.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

Østergaard, L, Chesler, DA, Weisskoff, RM, Sorensen, AG & Rosen, BR 1999, 'Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data', Journal of Cerebral Blood Flow and Metabolism, bind 19, nr. 6, s. 690-9. https://doi.org/10.1097/00004647-199906000-00013

APA

Østergaard, L., Chesler, D. A., Weisskoff, R. M., Sorensen, A. G., & Rosen, B. R. (1999). Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data. Journal of Cerebral Blood Flow and Metabolism, 19(6), 690-9. https://doi.org/10.1097/00004647-199906000-00013

CBE

Østergaard L, Chesler DA, Weisskoff RM, Sorensen AG, Rosen BR. 1999. Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data. Journal of Cerebral Blood Flow and Metabolism. 19(6):690-9. https://doi.org/10.1097/00004647-199906000-00013

MLA

Vancouver

Østergaard L, Chesler DA, Weisskoff RM, Sorensen AG, Rosen BR. Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data. Journal of Cerebral Blood Flow and Metabolism. 1999;19(6):690-9. https://doi.org/10.1097/00004647-199906000-00013

Author

Østergaard, Leif ; Chesler, D A ; Weisskoff, R M ; Sorensen, A G ; Rosen, B R. / Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data. I: Journal of Cerebral Blood Flow and Metabolism. 1999 ; Bind 19, Nr. 6. s. 690-9.

Bibtex

@article{5a057080fb3411dd8f9a000ea68e967b,
title = "Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data",
abstract = "Existing model-free approaches to determine cerebral blood flow by external residue detection show a marked dependence of flow estimates on tracer arrival delays and dispersion. In theory, this dependence can be circumvented by applying a specific model of vascular transport and tissue flow heterogeneity. The authors present a method to determine flow heterogeneity by magnetic resonance residue detection of a plasma marker. Probability density functions of relative flows measured in six healthy volunteers were similar among tissue types and volunteers, and were in qualitative agreement with literature measurements of capillary red blood cell and plasma velocities. Combining the measured flow distribution with a model of vascular transport yielded excellent model fits to experimental residue data. Fitted gray-to-white flow-rate ratios were in good agreement with PET literature values, as well as a model-free singular value decomposition (SVD) method in the same subjects. The vascular model was found somewhat sensitive to data noise, but showed far less dependence on vascular delay and dispersion than the model-free SVD approach.",
keywords = "Adult, Algorithms, Arterioles, Basal Ganglia, Cerebral Arteries, Cerebrovascular Circulation, Humans, Magnetic Resonance Imaging, Models, Neurological, Vascular Resistance",
author = "Leif {\O}stergaard and Chesler, {D A} and Weisskoff, {R M} and Sorensen, {A G} and Rosen, {B R}",
year = "1999",
doi = "10.1097/00004647-199906000-00013",
language = "English",
volume = "19",
pages = "690--9",
journal = "Journal of Cerebral Blood Flow and Metabolism",
issn = "0271-678X",
publisher = "SAGE Publications Ltd",
number = "6",

}

RIS

TY - JOUR

T1 - Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data

AU - Østergaard, Leif

AU - Chesler, D A

AU - Weisskoff, R M

AU - Sorensen, A G

AU - Rosen, B R

PY - 1999

Y1 - 1999

N2 - Existing model-free approaches to determine cerebral blood flow by external residue detection show a marked dependence of flow estimates on tracer arrival delays and dispersion. In theory, this dependence can be circumvented by applying a specific model of vascular transport and tissue flow heterogeneity. The authors present a method to determine flow heterogeneity by magnetic resonance residue detection of a plasma marker. Probability density functions of relative flows measured in six healthy volunteers were similar among tissue types and volunteers, and were in qualitative agreement with literature measurements of capillary red blood cell and plasma velocities. Combining the measured flow distribution with a model of vascular transport yielded excellent model fits to experimental residue data. Fitted gray-to-white flow-rate ratios were in good agreement with PET literature values, as well as a model-free singular value decomposition (SVD) method in the same subjects. The vascular model was found somewhat sensitive to data noise, but showed far less dependence on vascular delay and dispersion than the model-free SVD approach.

AB - Existing model-free approaches to determine cerebral blood flow by external residue detection show a marked dependence of flow estimates on tracer arrival delays and dispersion. In theory, this dependence can be circumvented by applying a specific model of vascular transport and tissue flow heterogeneity. The authors present a method to determine flow heterogeneity by magnetic resonance residue detection of a plasma marker. Probability density functions of relative flows measured in six healthy volunteers were similar among tissue types and volunteers, and were in qualitative agreement with literature measurements of capillary red blood cell and plasma velocities. Combining the measured flow distribution with a model of vascular transport yielded excellent model fits to experimental residue data. Fitted gray-to-white flow-rate ratios were in good agreement with PET literature values, as well as a model-free singular value decomposition (SVD) method in the same subjects. The vascular model was found somewhat sensitive to data noise, but showed far less dependence on vascular delay and dispersion than the model-free SVD approach.

KW - Adult

KW - Algorithms

KW - Arterioles

KW - Basal Ganglia

KW - Cerebral Arteries

KW - Cerebrovascular Circulation

KW - Humans

KW - Magnetic Resonance Imaging

KW - Models, Neurological

KW - Vascular Resistance

U2 - 10.1097/00004647-199906000-00013

DO - 10.1097/00004647-199906000-00013

M3 - Journal article

C2 - 10366200

VL - 19

SP - 690

EP - 699

JO - Journal of Cerebral Blood Flow and Metabolism

JF - Journal of Cerebral Blood Flow and Metabolism

SN - 0271-678X

IS - 6

ER -