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A combined computational fluid dynamics and MRI Arterial Spin Labeling modeling strategy to quantify patient-specific cerebral hemodynamics in cerebrovascular occlusive disease
View ORCID ProfileJonas Schollenberger, View ORCID ProfileNicholas Harold Osborne, View ORCID ProfileLuis Hernandez-Garcia, View ORCID ProfileC. Alberto Figueroa
doi: https://doi.org/10.1101/2021.01.21.426887
Jonas Schollenberger
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan
Nicholas Harold Osborne
2Department of Surgery, University of Michigan, Ann Arbor, Michigan
Luis Hernandez-Garcia
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan
3Functional MRI Laboratory, University of Michigan, Ann Arbor, Michigan
C. Alberto Figueroa
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan
2Department of Surgery, University of Michigan, Ann Arbor, Michigan
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Posted January 21, 2021.
A combined computational fluid dynamics and MRI Arterial Spin Labeling modeling strategy to quantify patient-specific cerebral hemodynamics in cerebrovascular occlusive disease
Jonas Schollenberger, Nicholas Harold Osborne, Luis Hernandez-Garcia, C. Alberto Figueroa
bioRxiv 2021.01.21.426887; doi: https://doi.org/10.1101/2021.01.21.426887
A combined computational fluid dynamics and MRI Arterial Spin Labeling modeling strategy to quantify patient-specific cerebral hemodynamics in cerebrovascular occlusive disease
Jonas Schollenberger, Nicholas Harold Osborne, Luis Hernandez-Garcia, C. Alberto Figueroa
bioRxiv 2021.01.21.426887; doi: https://doi.org/10.1101/2021.01.21.426887
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