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Background Recently, high temporal resolution short-axis cine images have been used to create left ventricular (LV) regional mechanical delay (RMD) maps in patients undergoing cardiac resynchronization therapy (CRT). Generating the endocardial segmentation required for RMD analysis is both time-consuming and subjective. A semi-automated segmentation method for time-continuous contour detection that uses multi-dimensional dynamic programming to enforce user-defined shape constraints without the need for extensive training sets has been previously developed (Uzumcu 2006). Our goal was to compare RMD maps generated from semiautomated and manual segmentation in patients enrolled for CRT.

Evaluation of automated contour detection to produce regional delay maps from high temporal resolution cine images in patients undergoing CRT