Abstract #3512

Accelerated High Resolution EPI DTI Using Model-Based Reconstruction

Zijing Dong¹, Fuyixue Wang^1,2, 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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