Abstract
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.
Original language | English |
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Title of host publication | Proceedings 2006 IEEE Ultrasonics Symposium |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 2413-2416 |
Number of pages | 4 |
ISBN (Print) | 1-4244-0201-8, 1-4244-0202-6 |
DOIs | |
Publication status | Published - 3 Oct 2006 |
Event | IEEE Ultrasonics Symposium 2006 - Vancouver, Canada Duration: 3 Oct 2006 → 6 Oct 2006 |
Conference
Conference | IEEE Ultrasonics Symposium 2006 |
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Country/Territory | Canada |
City | Vancouver |
Period | 3/10/06 → 6/10/06 |