Abstract #0957
Double Oscillating Diffusion Encoding (DODE) augments microscopic anisotropy contrast
Noam Shemesh 1 , Andrada Ianuş 2 , Daniel C Alexander 2 , and Ivana Drobnjak 2
1
Champalimaud Neuroscience Programme,
Champalimaud Center for the Unknown, Lisbon, Portugal,
2
Center
for Medical Image Computing, Department of Computer
Science, University College London, London, United
Kingdom
Double-Diffusion-Encoding (DDE) MRI methodologies (e.g.,
double-Pulsed-Field-Gradient (dPFG) or
Double-Wave-Vector (DWV)) rely on characteristic
amplitude modulations that quantify microscopic
anisotropy in highly heterogeneous systems. Here, we
present Double-Oscillating-Diffusion-Encoding (DODE),
and show that it can enhance DDEs contrast, thereby
providing increased sensitivity towards underlying
microstructures. Simulations of DODE at long mixing
times using the MISST framework reveal that low
frequency oscillations enhance DDEs contrast in
randomly oriented anisotropic pores when compared to
experiments in the long diffusion time / short diffusion
gradient duration regime. These flexible DODE sequences
show much potential for future applications.
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