Fast and fully automatic 3D left ventricular segmentation using shape-based B-spline explicit active surfaces
Cardiac function assessment is a critical step in cardiology and 3D ultrasound plays an increasingly important role. Automatic left ventricular (LV) segmentation remains however challenging particularly in the presence of artifacts and for images with low contrast-to-noise ratio (CNR). It is thus crucial to give segmentation tools prior information on the LV shape in order to fill in the gaps when image content is low. In this work, a fast automatic framework for full cycle LV segmentation is proposed that uses shape information from cardiac magnetic resonance (cMR) for a more accurate segmentation.