A two-pool model to describe the IVIM cerebral perfusion
Autor: | Bradley P. Sutton, Jing-Rebecca Li, Luisa Ciobanu, Gabrielle Fournet, Denis Le Bihan, Alex Cerjanic |
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Přispěvatelé: | Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Shape reconstruction and identification (DeFI ), Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, ANR-13-NEUC-0002,CIACM,Computational Imaging of the Aging Cerebral Microvasculature(2013), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Male
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging Models Biological perfusion 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine medicine magnetic resonance imaging Animals Diffusion (business) Cerebral perfusion pressure Intravoxel incoherent motion Mathematics intravoxel incoherent motion medicine.diagnostic_test business.industry Microcirculation Brain Magnetic resonance imaging Rats Inbred Strains Original Articles Cerebral blood flow [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Diffusion Magnetic Resonance Imaging Neurology Cerebrovascular Circulation Spin echo Neurology (clinical) Akaike information criterion Cardiology and Cardiovascular Medicine Nuclear medicine business Biological system 030217 neurology & neurosurgery |
Zdroj: | Journal of Cerebral Blood Flow and Metabolism Journal of Cerebral Blood Flow and Metabolism, 2016, ⟨10.1177/0271678X16681310⟩ Journal of Cerebral Blood Flow and Metabolism, Nature Publishing Group, 2016, ⟨10.1177/0271678X16681310⟩ ResearcherID |
ISSN: | 0271-678X 1559-7016 |
DOI: | 10.1177/0271678X16681310⟩ |
Popis: | 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. |
Databáze: | OpenAIRE |
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