Abstract #3034
New Mathematical Model for the Diffusion Time Dependent ADC
Simona Schiavi 1 , Houssem Haddar 1 , and Jing-Rebecca Li 1
1
DeFI, INRIA, cole Polytechnique, Palaiseau,
France
DMRI has been established as a useful tool to obtain
voxel-level information on tissue microstructure. An
important quantity measured in dMRI is the apparent
diffusion coefficient (ADC), and it has been well
established by in-vivo brain imaging experiments that
the ADC depends significantly on the diffusion time. To
aid in understanding and interpreting the experimentally
measured ADC, we derive a new mathematical model of the
voxel-level ADC that is diffusion time-dependent and
accurate over a large range of diffusion times, using a
linearization of the Bloch-Torrey equation around low
b-values. The goal is to use this time-dependent ADC
model in the future to identify parameters of tissue
microstructure from the experimentally measured ADC at
different diffusion times.
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