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Abstract #4467

In-vivo cardiac DTI using motion compensated optimized diffusion encoding (MODE): A reproducibility study

Prateek Kalra1, Waqas Majeed1, Mohammad R. Maddah1, Xiaokui Mo2, Richard D. White1, and Arunark Kolipaka1

1Radiology, Ohio State University Wexner Medical Center, Columbus, OH, United States, 2Center for Biostatistics, Ohio State University Wexner Medical Center, Columbus, OH, United States

Diffusion-weighted imaging (DWI) is used to identify heterogeneous infarcted region by calculating ADC(apparent diffusion coefficient) and FA(fractional anisotropy). However, performing DWI in heart is very challenging because of heart motion. Earlier method used convex optimized diffusion encoding (CODE) to optimize diffusion encoding gradients (DEG) waveform. However, due to limitations of CODE waveforms, earlier we proposed motion compensated diffusion encoding (MODE) to achieve higher b-value for a given DEG duration. The aim of this study is to validate and assess the reproducibility of MODE technique in computing ADC and FA maps in healthy subjects. Preliminary results demonstrated good reproducibility using MODE.

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