NDLI: Myocardial motion estimation using optical flow with multiple constraint equations

Content Provider	IEEE Xplore Digital Library
Author	Wang, Liang Clarysse, Patrick Croisille, Pierre Girard, Patrick R. Delachartre, Philippe Liu, Zhengjun Liu, Wanyu
Copyright Year	2014
Description	Author affiliation: Université de Lyon, CREATIS; CNRS UMR 5220; Inserm U1044; INSA-LYON; Université LYON 1, Bât. Blaise Pascal, 7 avenue Jean Capelle, F-69621 Villeurbanne, France (Wang, Liang; Clarysse, Patrick; Croisille, Pierre; Girard, Patrick R.; Delachartre, Philippe) \|\| HIT-INSA sino French Research Center for Biomedical Imaging, Department of Automatic Measurement and Control, Harbin Institute of Technology, 150001, China (Liu, Zhengjun; Liu, Wanyu)
Abstract	A new optical flow method is presented for estimating myocardial motion from MR image sequences. The concept of the local shape is introduced to generate four optical flow equations. Next, the interpolation operation is utilized to solve the four optical flow equations. Then a cost function is formulated from the intensity equation and gradient equations. The minimum method is considered to obtain an optimized position as the value of displacement. Finally, the optical flow method is tested with synthetic and experimental myocardial motion MRI data. There are two main contributions in this paper: the proposed estimation method can give a desired performance on both the cine and tagged MR image sequences, and for the simulation, we proposed synthesized cine and tagged sequences with the same ground truth motion field, which are used to evaluate the motion detection performances of the algorithms. Compared to classical methods, the results obtained improved displacement estimation and strain maps on cine and tagged images.
Starting Page	1066
Ending Page	1071
File Size	1098529
Page Count	6
File Format	PDF
ISBN	9781479921881
ISSN	21645221
e-ISBN	9781479921867
DOI	10.1109/ICOSP.2014.7015167
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical imaging Mathematical model Equations Adaptive optics Shape Myocardium Tensile stress
Content Type	Text
Resource Type	Article

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