Subjective Surfaces: A Geometric Model for Boundary Completion
International Journal of Computer Vision
Echocardiographic Image Sequence Segmentation and Analysis Using Self-Organizing Maps
Journal of VLSI Signal Processing Systems
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Segmentation of the fetal heart can facilitate the 3D assessment of the cardiac function and structure. Ultrasound acquisition typically results in drop-out artifacts of the chamber walls. This paper presents a level set deformable model to simultaneously segment all four cardiac chambers using region based information. The segmented boundaries are automatically penalized from intersecting at walls with signal dropout. Root mean square errors of the perpendicular distances between the algorithm’s delineation and manual tracings are within 7 pixels (