A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography

Real-time three-dimensional (RT3D) echocardiography is the newest generation of three-dimensional (3-D) echocardiography. Segmentation of RT3D echocardiographic images is essential for determining many important diagnostic parameters. In cardiac imaging, since the heart is a moving organ, prior knowledge regarding its shape and motion patterns becomes an important component for the segmentation task. However, most previous cardiac models are either static models (SM), which neglect the temporal coherence of a cardiac sequence or generic dynamical models (GDM), which neglect the inter-subject variability of cardiac motion. In this paper, we present a subject-specific dynamical model (SSDM) which simultaneously handles inter-subject variability and cardiac dynamics (intra-subject variability). It can progressively predict the shape and motion patterns of a new sequence at the current frame based on the shapes observed in the past frames. The incorporation of this SSDM into the segmentat...

• Type: Conference
• Year: 2009
• Where: MICCAI
• Authors: Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan
• Keywords: Cardiac, Inter-subject Variability, MICCAI 2009, Motion Patterns