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Abstract #3330

The IVIM signal: a combination of two vascular pools

Gabrielle Fournet1,2, Luisa Ciobanu1, Jing Rebecca Li2, Alex Cerjanic3, Brad Sutton3, and Denis Le Bihan1

1CEA Saclay/Neurospin, Gif-sur-Yvette, France, 2INRIA Saclay, Palaiseau, France, 3Beckman Institute of Advanced Science and Technology, Urbana, IL, United States

IntraVoxel Incoherent Motion (IVIM) imaging allows to extract perfusion parameters from a series of diffusion weighted images. We show that the standard mono-exponential model used to describe the IVIM signal can be improved by switching to a bi-exponential model. Multiple diffusion time rat brain images were acquired at 7T and compared to numerical simulations of blood flow through the microvascular network. Our results demonstrate that the bi-exponential model better describes the data especially at short diffusion times and suggest that the IVIM signal comprises the contributions from two different vascular pools: small vessels (capillaries) and medium sized-vessels.

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