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Updated: Feb 25, 2026

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
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Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

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Cerebrovascular 5D flow MRI.

Luuk Jacobs1, Patrick Thurner2, Sebastian Kozerke1

  • 1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.

Neuroimage
|February 23, 2026
PubMed
Summary
This summary is machine-generated.

Quantifying respiratory flow modulation (RFM) in the brain using 5D flow MRI reveals significant physiological variability. This advanced imaging technique enhances our understanding of cerebral circulation and vascular coupling.

Keywords:
4D Flow MRI5D Flow MRIBrainCerebral circulationFlow quantification, Phase-contrast MRI

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Area of Science:

  • Cardiovascular Imaging
  • Neuroimaging
  • Medical Physics

Background:

  • 4D flow MRI quantifies cardiac-induced blood flow in the brain.
  • Respiration significantly modulates cerebral arterial and venous blood flow.
  • Quantifying respiratory flow modulation (RFM) offers insights into vascular coupling and cerebral circulation.

Purpose of the Study:

  • To develop and validate a 5D phase-contrast flow MRI framework for volumetric quantification of RFM.
  • To assess the potential of this technique in understanding cerebral circulation dynamics.

Main Methods:

  • A 5D flow MRI framework was developed, resolving velocity vector fields across cardiac and respiratory cycles.
  • High spatial (0.82 mm isotropic) and cardiac (55 ms) resolutions were achieved.
  • Deep learning methods were incorporated for image reconstruction and analysis, with a 20-minute acquisition time.

Main Results:

  • The 5D framework was validated against 2D flow MRI in 10 healthy volunteers, showing high correlation (r=0.97, 0.90) for RFM quantification.
  • Biases for mean velocity magnitude and amplitude RFM were minimal (0.09%, 1.77%).
  • Full-field RFM quantification revealed significant intra-subject physiological variability.

Conclusions:

  • Cerebrovascular 5D flow MRI enables comprehensive study of respiratory flow modulation.
  • This technique holds significant potential for advancing the understanding of cerebral circulation.