Abstract
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.
Highlights
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)
Manual LV endocardial segmentations were compared to contours generated by the semi-automated segmentation method using every 4th, 8th, or 12th contour in 11 patients scheduled for CRT
RMD maps generated from each segmentation method were compared by computing the average delay difference between maps and identification the latest contracting AHA segment
Summary
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 (Üzümcü 2006).
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