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Branching Pattern of the Cerebral Arterial Tree.

Jasper H G Helthuis1,2, Tristan P C van Doormaal1,2, Berend Hillen3

  • 1Department of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.

Anatomical Record (Hoboken, N.J. : 2007)
|October 18, 2018
PubMed
Summary

This study quantifies human cerebral arterial branching patterns in the 1.0-0.1 mm radius range. The cerebral arterial tree adheres to the principle of minimum work, crucial for developing accurate blood flow models.

Keywords:
anatomical researchbranching patternscerebral arterial circulationhigh resolution MRIminimum work

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Area of Science:

  • Anatomy
  • Biophysics
  • Medical Imaging

Background:

  • Quantitative data on human cerebral arterial branching is limited, especially in the 1.0-0.1 mm radius range.
  • Understanding these patterns is vital for developing accurate mathematical blood flow models.

Purpose of the Study:

  • To collect quantitative data on cerebral arterial branching patterns in the 1.0-0.1 mm radius range.
  • To investigate if the human cerebral arterial tree follows the principle of minimal work (Murray's Law).

Main Methods:

  • Utilized 7 Tesla MRI and 9.4 Tesla MRI on corrosion casts for detailed imaging of arterial segments and bifurcations.
  • Employed semi-automatic and manual measurement techniques on MRI scans and a fresh dissected arterial tree.
  • Quantified 1,294 bifurcations and 2,031 segments using 7T-MRI, and 1,147 bifurcations and 1,150 segments using 9.4T-MRI.

Main Results:

  • Observed significant variation in branching pattern parameters, including asymmetry ratio, area ratio, length-radius ratio, and tapering.
  • Measurement techniques, sample size, and location influenced observed variations.
  • Confirmed that the human cerebral arterial tree complies with the principle of minimum work.

Conclusions:

  • The study provides essential quantitative data on cerebral arterial branching in a previously under-characterized size range.
  • The findings validate the application of the principle of minimum work to the human cerebral arterial system.
  • These data are fundamental for advancing computational fluid dynamics models of cerebral blood flow.