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Abstract #5192

A new Phase Unwrapping Method Based on Wraps Identification and Local Surface Fitting for Water-Fat Separation

Junying Cheng1,2, Yingjie Mei2,3, Biaoshui Liu2, 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, 2School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, People's Republic of China, 3Philips Healthcare, Guangzhou, People's Republic of China

The phase information is widely used, for example water-fat separation, susceptibility imaging, etc. The phase-unwrapping methods are generally needed to estimate the underlying true phase from the principal period (-π, π]. While current phase-unwrapping methods are affected by noise, rapid phase change and disconnected regions. This paper presents an algorithm combined a wrapping identification scheme by thresholding the difference map between the local variations between phasor and wrapped phase, with the local polynominal surface fitting to merge the disconnected components and estimate the phase value of residual pixels in quality guidance region-growing way. The results demonstrate the proposed method provides an accurate and reliable unwrapped results and has potential application to phase-related MRI in practice.

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