Abstract #0230

Self-calibrated and Collaborative Propeller-EPI Reconstruction (SCOPER) for High-Quality Diffusion-Tensor Imaging

Xiaoxi Liu¹, Di Cui¹, Erpeng Dai², Edward S. Hui^1,3, Queenie Chan⁴, and Hing-Chiu Chang¹

¹Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China, ²Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, ³The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China, ⁴Philips Healthcare, Hong Kong, China

Propeller-EPI is a self-navigated multi-shot technique for high-resolution diffusion-tensor imaging. However, corrections for 2D Nyquist ghost and distortion for each blade data are necessary to obtain high-quality image. In this study, we aim to develop a self-calibrated and collaborative Propeller-EPI reconstruction (SCOPER) framework that can 1) allows the estimation of phase errors and off-resonance map from the blade data, and 2) collaboratively reconstruct fully-corrected Propeller-EPI image from all blade data and the thereof. Our results demonstrated that SCOPER shows improved SNR performance, compared with conventional Propeller-EPI reconstruction pipelines.

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