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

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">   Method </td><td align="center"> Mean of errors </td><td align="center"> Standard deviation of errors</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Block matching (SSD) </td><td align="center"> 4.1936 </td><td align="center"> 2.4456 </td></tr><tr><td align="left">Block matching (cross-correlation) </td><td align="center"> 4.4173 </td><td align="center"> 2.5684 </td></tr><tr><td align="left">Optical flow (LK) </td><td align="center"> 3.0685 </td><td align="center"> 1.2997 </td></tr><tr><td align="left">Proposed method </td><td align="center"> 0.6344 </td><td align="center"> 0.2884</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The comparison results of the tracking algorithms for the total experimental dataset of 35 cases. The errors are measured using the FBTE (in pixels).

Computational and Mathematical Methods in Medicine

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Table 3

Table 3: Robust Myocardial Motion Tracking for Echocardiography: Variational Framework Integrating Local-to-Global Deformation 