Highly efficient MRI through multi-shot echo planar imaging

Congyu Liao; Xiaozhi Cao; Jaejin Cho; Zijing Zhang; Kawin Setsompop; Berkin Bilgic

doi:10.1117/12.2527183

9 September 2019 Highly efficient MRI through multi-shot echo planar imaging

Congyu Liao, Xiaozhi Cao, Jaejin Cho, Zijing Zhang, Kawin Setsompop, Berkin Bilgic

Proceedings Volume 11138, Wavelets and Sparsity XVIII; 1113818 (2019) https://doi.org/10.1117/12.2527183
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

Multi-shot echo planar imaging (msEPI) is a promising approach to achieve high in-plane resolution with high sampling efficiency and low T₂* blurring. However, due to the geometric distortion, shot-to-shot phase variations and potential subject motion, msEPI continues to be a challenge in MRI. In this work, we introduce acquisition and reconstruction strategies for robust, high-quality msEPI without phase navigators. We propose Blip Up-Down Acquisition (BUDA) using interleaved blip-up and -down phase encoding, and incorporate B₀ forward-modeling into Hankel structured low-rank model to enable distortion- and navigator-free msEPI. We improve the acquisition efficiency and reconstruction quality by incorporating simultaneous multi-slice acquisition and virtual-coil reconstruction into the BUDA technique. We further combine BUDA with the novel RF-encoded gSlider acquisition, dubbed “BUDA-gSlider”, to achieve rapid high isotropic resolution MRI. Deploying BUDA-gSlider with model-based reconstruction allows for distortion-free whole-brain 1mm isotropic T₂ mapping in ~1 minute. It also provides whole-brain 1mm isotropic diffusion imaging with high geometric fidelity and SNR efficiency. We finally incorporate sinusoidal “wave” gradients during the EPI readout to better use coil sensitivity encoding with controlled aliasing.

Citation Download Citation

Congyu Liao, Xiaozhi Cao, Jaejin Cho, Zijing Zhang, Kawin Setsompop, and Berkin Bilgic "Highly efficient MRI through multi-shot echo planar imaging", Proc. SPIE 11138, Wavelets and Sparsity XVIII, 1113818 (9 September 2019); https://doi.org/10.1117/12.2527183

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