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Abstract #1273

Motion Correction for Magnetic Resonance Fingerprinting by Using Sliding-Window Reconstruction and Image Registration

Zhongbiao Xu1, Mengye Lyu2,3, Edward Hui4, Yingjie Mei1,5, Zhifeng Chen6, Wufan Chen1, Ed X. Wu2,3, and Yanqiu Feng1

1School of Biomedical Engineering, Guangdong Provincial Key Laborary of Medical Image Processing, Southern Medical University, Guangzhou, People's Republic of China, 2laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, People's Republic of China, 3Department of Electrical and Electronic Engineering,The University of Hong Kong, Hong Kong SAR, People's Republic of China, 4Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, People's Republic of China, 5Philips Healthcare, Guangzhou, People's Republic of China, 6Department of Biomedical Engineering, Zhejiang University, Hangzhou, People's Republic of China

The recently proposed magnetic resonance fingerprinting (MRF) technique demonstrates to be motion insensitive, but the early motion during the acquisition can still lead to severe errors in parameter quantification. In this study, we present a novel motion correct method for MRF based on sliding-window reconstruction and image registration.

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