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Abstract #1956

A Robust 3D Phase Unwrapping Method with Application to Quantitative Susceptibility Mapping

Junying Cheng1,2, Biaoshui Liu2, Yingjie Mei2,3, Yihao Guo2, Maodong Chen2, Xiaoyun Liu1, Wufan Chen1,2, and Yanqiu Feng2

1School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, People's Republic of China, 2Guangdong Provincial Key Laborary of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, People's Republic of China, 3Philips Healthcare, Guangzhou, People's Republic of China

In susceptibility-weighted imaging and quantitative susceptibility mapping, phase unwrapping methods are generally needed to restore the underlying true phase from the principal period (-π, π]. However, current phase unwrapping algorithms are challenged by noise, rapid phase changes and open-end cutlines. In this paper, a 2D phase unwrapping method based on pixel clustering and local surface fitting (CLOSE) was extended to 3D. The simulation and in vivo data is used to test the performance of the proposed method, with a comparison to a region growing method and PRELUDE, which are widely used for human brain phase-related imaging. The proposed method is demonstrated that can accurately unwrap 3D phase data even in the presence of severe noise, rapid phase changes, and open-end cutlines, and will benefit phase-related 3D MRI applications.

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