MR derived volumetric flow rate waveforms at locations within the common carotid, internal carotid, and basilar

Matthew N Gwilliam1, Nigel Hoggard, David Capener

  • 1Medical Physics and Clinical Engineering, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.

Insights

This study defines normal cerebral blood flow waveforms in the carotid and basilar arteries. Understanding these volumetric flow rate (VFR) patterns aids in diagnosing cerebrovascular conditions like stroke.

Area of Science:

  • Neuroscience
  • Cardiovascular Science
  • Medical Imaging

Background:

  • Cerebrovascular function studies rely on volumetric flow rate (VFR) waveforms.
  • Existing literature on cerebral blood flow waveform characteristics is limited.
  • Understanding VFR variations is crucial for identifying risks of stroke, arteriovenous malformations, and aneurysms.

Purpose of the Study:

  • To characterize the VFR waveform over the cardiac cycle in the carotid and basilar arteries of a healthy cohort.
  • To establish archetypal VFR waveforms at specific locations within these arteries.
  • To provide a method for estimating an individual's VFR waveform based on group data.

Main Methods:

  • Quantitative phase-contrast magnetic resonance imaging (2D QPC-MRI) was used.
  • 22 healthy subjects (aged 20-40 years) were scanned.
  • Measurements were taken at nine anatomical locations within the carotid and basilar arteries.

Main Results:

  • Significant differences in blood flow pulsatility were observed within the carotid artery tree.
  • Archetypal VFR waveforms were successfully established for the nine measured locations.
  • A method was developed to estimate individual VFR waveforms by scaling group archetypes with individual average flow rates.

Conclusions:

  • This study provides a foundational characterization of normal cerebral blood flow waveforms.
  • The established archetypal waveforms and estimation method can serve as a reference for clinical and research applications.
  • Improved understanding of normal VFR dynamics can enhance the diagnosis and management of cerebrovascular diseases.