Abstract #1273

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

Zhongbiao Xu¹, Mengye Lyu^2,3, Edward Hui⁴, Yingjie Mei^1,5, Zhifeng Chen⁶, Wufan Chen¹, Ed X. Wu^2,3, 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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