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Vascular territory image analysis using vessel encoded arterial spin labeling.

Michael A Chappell1, Thomas W Okell, Peter Jezzard

  • 1Oxford Centre for Functional MRI of the Brain, University of Oxford, John Radcliffe Hospital, Headington, Oxford, OX4 3HD, UK. michael.chappell@clneuro.ox.ac.uk

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|April 30, 2010
PubMed
Summary

This study introduces a Bayesian method for analyzing Vessel Encoded Arterial Spin Labeling (VE-ASL) to map brain blood supply. The technique reliably identifies brain vascular territories, even with complex vessel configurations.

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Area of Science:

  • Neuroimaging
  • Medical Physics
  • Radiology

Background:

  • Arterial Spin Labeling (ASL) is a non-invasive MRI technique for assessing cerebral blood flow.
  • Conventional ASL provides global perfusion data, limiting detailed vascular analysis.
  • Vessel Encoded (VE) ASL enhances ASL by spatially modulating the magnetic labeling of blood from specific vessels.

Purpose of the Study:

  • To develop and validate a Bayesian inference method for analyzing VE-ASL data.
  • To accurately determine brain vascular territories using VE-ASL.
  • To address the challenge of mapping territories when the number of vessels exceeds independent measurements.

Main Methods:

  • A Bayesian inference framework was employed for VE-ASL data analysis.
  • The method incorporates information on the spatial distribution of labeled vessels.
  • Probabilistic classification links brain tissue to its supplying vessel source.

Main Results:

  • The developed Bayesian method reliably determines vascular territories in the brain.
  • Successful territory mapping was demonstrated in both simulated and real neuroimaging data.
  • The approach effectively handles scenarios with more vessels than independent measurements.

Conclusions:

  • The Bayesian analysis of VE-ASL provides a robust tool for non-invasive mapping of cerebral vascular territories.
  • This method advances the capability of ASL to characterize regional brain perfusion with high specificity.
  • Accurate vascular territory determination has implications for understanding and diagnosing cerebrovascular diseases.