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Abstract #0957

Double Oscillating Diffusion Encoding (DODE) augments microscopic anisotropy contrast

Noam Shemesh 1 , Andrada IanuĊŸ 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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