Myocardial ischemia or coronary artery disease can be identified and located by analyzing the movement anddeformation of the heart. Therefore, to accurately and non-invasively diagnose the location and extent of ischemicor infarcted myocardium, it is of great practical significance to quantitatively determine the motion/deformationparameters of myocardial tissue. In this paper, the myocardial material parameters are used as a priori information andcombined with a continuum mechanics model to restore the cardiac cycle motion under the spatial constraints of thegraph total variation (GTV). In the motion reconstruction, the biomechanical model establishes the relationship betweenstress and deformation through system dynamics. The total variation of the graph proposed in this paper ignores thespatial distance, establishes the connection between similar regions in the image, overcomes the limitation ofconsidering only the similarity with adjacent regions, and preserves the texture details and fine structure. Because GTVuses the K-nearest neighbor algorithm (KNN) to classify regional similarity, the connection between similar regions isstronger, therein achieving computational scalability and lower computational complexity. The accuracy of the strategywith and promising application results from synthetic data, magnetic resonance (MR) phase contrast, and gradient echocine MR image sequence are demonstrated.
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