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Abstract #4324

Implementation of a Diffusion-Weighted Echo Planar Imaging sequence using the Open Source Hardware-Independent PyPulseq Tool

Rita G. Nunes1, Keerthi Sravan Ravi2, Sairam Geethanath2, and J. Thomas Vaughan Jr2
1Instituto Superior T├ęcnico, Lisbon, Portugal, 2Columbia University Magnetic Resonance Research Center, New York, NY, New York, NY, United States

Diffusion-weighted imaging is an essential sequence for many clinical applications. While the post-processing tools for diffusion are widely available, vendor-neutral, open-source acquisition implementations have not been shared for research purposes. We develop a cross-vendor, open source package of a multi-slice single-shot spin echo-planar imaging based diffusion pulse sequence, capable of multiple b values and directions. We demonstrate this on an in vitro phantom, measuring plausible Apparent Diffusion Coefficient values and in vivo human brain data, obtaining good quality Fractional Anisotropy and Mean Diffusivity maps. We process our data with freely available post-processing tools to generate quantitative diffusion maps.

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