PS-8 Sparse Appearance Model Based Registration and Segmentation of 3D Echocardiographic Images
Nico de Jong, Antonius F.W. van der Steen, Kwok Yin Leung, Marijn van Stralen, Gerard van Burken, Marco Marien Voormolen, Attila Nemes, Folkert J. ten Cate, Marcel Leonard Geleijnse, Johan H. C. Reiber, Johan G. Bosch · 2006
In this study, active appearance model segmentation and intensity-based image registration were combined for detecting contours in three-dimensional (3D) echocardiograms fully automatically. An appearance model was built in 3D sparsely, consisting of the anatomical 4-chamber, 2-chamber, and short-axis views, which were extracted from end-diastolic 3D data sets. The model was used to segment an unseen image in a registration framework, by optimizing appearance and pose parameters simultaneously. Encouraging results were obtained with leave-one-out experiments on 16 patient data sets. The method may help inter- and intrapatient comparison of images, and is intended as an initialization for a complete 3D segmentation