A robust and accurate center-frequency estimation (RACE) algorithm for improving motion estimation performance of Sin Mod on tagged cardiac MR images without known tagging parameters

作者：Liu, Hong; Wang, Jie; Xu, Xiangyang^*; Song, Enmin; Wang, Qian; Jin, Renchao; Hung, Chih-Cheng; Fei, Baowei

来源：Magnetic Resonance Imaging, 2014, 32(9): 1139-1155.

DOI：10.1016/j.mri.2014.07.005

• Tagged cardiac MR image
• Motion estimation
• SinMod
• Center-frequency
• Mean-shift
• Two-direction-combination

A robust and accurate center-frequency (CF) estimation (RACE) algorithm for improving the performance of the local sine-wave modeling (SinMod) method, which is a good motion estimation method for tagged cardiac magnetic resonance (MR) images, is proposed in this study. The RACE algorithm can automatically, effectively and efficiently produce a very appropriate CF estimate for the SinMod method, under the circumstance that the specified tagging parameters are unknown, on account of the following two key techniques: (1) the well-known mean-shift algorithm, which can provide accurate and rapid CF estimation; and (2) an original two-direction-combination strategy, which can further enhance the accuracy and robustness of CF estimation. Some other available CF estimation algorithms are brought out for comparison. Several validation approaches that can work on the real data without ground truths are specially designed. Experimental results on human body in vivo cardiac data demonstrate the significance of accurate CF estimation for SinMod, and validate the effectiveness of RACE in facilitating the motion estimation performance of SinMod.

• 出版日期2014-11
• 单位中南财经政法大学; 华中科技大学