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Abstract #3512

Accelerated High Resolution EPI DTI Using Model-Based Reconstruction

Zijing Dong1, Fuyixue Wang1,2, Zhe Zhang1, Erpeng Dai1, Xiaodong Ma1, Yuantao Gu3, and Hua Guo1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China, 2Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 3Department of Electronic Engineering, Tsinghua University, Beijing, People's Republic of China

Single-shot EPI is the most widely used sequence in diffusion tensor imaging. However, severe distortion in single-shot EPI limits its application for higher resolution images. Multi-shot EPI DTI can reduce distortion but results in longer acquisition time especially when a large number of diffusion-encoding directions are used. Here, we propose a model-based reconstruction framework for EPI DTI to estimate diffusion tensors from undersampled EPI sequences, in order to achieve high resolution diffusion imaging in a shorter scan time. The effectiveness of the proposed model-based method to get precise tensor estimation is validated by DTI simulation and in-vivo experiments.

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