Robust Myocardial Motion Tracking for Echocardiography: Variational Framework Integrating Local-to-Global Deformation

<table>Graphs showing the relationship between <svg height="15.9" id="M231" style="vertical-align:-1.32405pt" version="1.1" viewbox="0 0 9.5124998 15.9" width="9.5124998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.762,10.963)"><path d="M470 619q-46 -79 -133 -79q-39 0 -115 22q-59 16 -92 16q-57 0 -111 -46l-19 23q56 78 138 78q43 0 110 -21q62 -17 100 -17q60 0 103 46z" id="xF5C11"></path></g><g transform="matrix(.017,-0,0,-.017,.062,15.638)"><path d="M529 97q-70 -109 -136 -109q-41 0 -56 94q-23 144 -37 284q-38 -88 -99 -202.5t-93 -156.5q-26 -8 -76 -19l-9 21q71 78 145.5 193t124.5 232q-5 84 -15 128q-12 55 -29.5 75.5t-42.5 20.5q-21 0 -45 -13l-8 24q16 17 46 30t55 13q43 0 70 -46.5t40 -169.5
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</svg> and the tissue/blood intensity contrast. The stars are the points obtained from the simulation; the straight line fits these points.</table>

Computational and Mathematical Methods in Medicine

fig6

Figure 6

Figure 6: Robust Myocardial Motion Tracking for Echocardiography: Variational Framework Integrating Local-to-Global Deformation 