title: A robust and accurate center-frequency estimation (RACE) algorithm for improving motion estimation performance of SinMod on tagged cardiac MR images without known tagging parameters.
abstract: 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.
authors.affiliation: School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Key Laboratory of Education Ministry for Image Processing and Intelligence Control, Wuhan, Hubei 430074, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Liu
authors.affiliation: School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Key Laboratory of Education Ministry for Image Processing and Intelligence Control, Wuhan, Hubei 430074, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Wang
authors.affiliation: School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Key Laboratory of Education Ministry for Image Processing and Intelligence Control, Wuhan, Hubei 430074, China. Electronic address: xuxy@hust.edu.cn.
authors.forename: Xiangyang
authors.initials: X
authors.lastname: Xu
authors.affiliation: School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Key Laboratory of Education Ministry for Image Processing and Intelligence Control, Wuhan, Hubei 430074, China.
authors.forename: Enmin
authors.initials: E
authors.lastname: Song
authors.affiliation: Key Laboratory of Education Ministry for Image Processing and Intelligence Control, Wuhan, Hubei 430074, China; Department of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, Hubei 430073, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Wang
authors.affiliation: School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Key Laboratory of Education Ministry for Image Processing and Intelligence Control, Wuhan, Hubei 430074, China.
authors.forename: Renchao
authors.initials: R
authors.lastname: Jin
authors.affiliation: School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA 30060, USA.
authors.forename: Chih-Cheng
authors.initials: CC
authors.lastname: Hung
authors.affiliation: Quantitative BioImaging Laboratory, Emory University School of Medicine, Atlanta, GA 30322, USA.
authors.forename: Baowei
authors.initials: B
authors.lastname: Fei
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006321:Heart / Q000502:physiology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009038:Motion; D009200:Myocardial Contraction; D015203:Reproducibility of Results
keywords: Center-frequency; Mean-shift; Motion estimation; SinMod; Tagged cardiac MR image; Two-direction-combination
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