A two-pool model to describe the IVIM cerebral perfusion

Gabrielle Fournet, Jing Rebecca Li, Alex M. Cerjanic, Bradley P. Sutton, Luisa Ciobanu, Denis Le Bihan

Research output: Contribution to journalArticle

Abstract

IntraVoxel Incoherent Motion (IVIM) is a magnetic resonance imaging (MRI) technique capable of measuring perfusion-related parameters. In this manuscript, we show that the mono-exponential model commonly used to process IVIM data might be challenged, especially at short diffusion times. Eleven rat datasets were acquired at 7T using a diffusion-weighted pulsed gradient spin echo sequence with b-values ranging from 7 to 2500 s/mm2 at three diffusion times. The IVIM signals, obtained by removing the diffusion component from the raw MR signal, were fitted to the standard mono-exponential model, a bi-exponential model and the Kennan model. The Akaike information criterion used to find the best model to fit the data demonstrates that, at short diffusion times, the bi-exponential IVIM model is most appropriate. The results obtained by comparing the experimental data to a dictionary of numerical simulations of the IVIM signal in microvascular networks support the hypothesis that such a bi-exponential behavior can be explained by considering the contribution of two vascular pools: capillaries and somewhat larger vessels.

Original languageEnglish (US)
Pages (from-to)2987-3000
Number of pages14
JournalJournal of Cerebral Blood Flow and Metabolism
Volume37
Issue number8
DOIs
StatePublished - Aug 1 2017

Keywords

  • Cerebral blood flow
  • intravoxel incoherent motion
  • magnetic resonance imaging
  • microcirculation
  • perfusion

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

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