Abstract
Background Global measures of cardiac function may not reflect subtle wall motion abnormalities. In such cases, assessment of regional cardiac wall motion is required, which is usually evaluated visually with highly subjective results. Automatic analysis techniques can be classified into intensity-based and contour-based methods with the latter category avoiding the image quality-related limitations in the first one. In this study, we present a contour-based technique for detecting wall motion abnormality based on studying the temporal pattern of normalized wall thickness.
Highlights
Global measures of cardiac function may not reflect subtle wall motion abnormalities
We present a contour-based technique for detecting wall motion abnormality based on studying the temporal pattern of normalized wall thickness
Three short-axis cine images were acquired at basal, mid, and apical sites
Summary
Global measures of cardiac function may not reflect subtle wall motion abnormalities. In such cases, assessment of regional cardiac wall motion is required, which is usually evaluated visually with highly subjective results. Automatic analysis techniques can be classified into intensity-based and contour-based methods with the latter category avoiding the image quality-related limitations in the first one. We present a contour-based technique for detecting wall motion abnormality based on studying the temporal pattern of normalized wall thickness
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