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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pouch, A.M. Hongzhi Wang Yushkevich, P.A. Takabe, M. Jackson, B.M. Gorman, J.H. Gorman, R.C. Sehgal, C.M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Univ. of Pennsylvania, Philadelphia, PA, USA (Pouch, A.M.; Hongzhi Wang; Yushkevich, P.A.; Takabe, M.; Jackson, B.M.; Gorman, J.H.; Gorman, R.C.; Sehgal, C.M.) |
| Abstract | The goal of this work is to develop a fully automatic method for segmentation of the mitral leaflets in 3D transesophageal echocardiographic (3D TEE) images. The method combines complementary probabilistic segmentation and geometric modeling techniques to generate 3D patient-specific reconstructions of the mitral leaflets and annulus from 3D TEE image data with no user interaction. In the model-based segmentation framework, mitral leaflet geometry is described with 3D continuous medial representation (cm-rep). To capture leaflet geometry in a target 3D TEE image, a pre-defined cm-rep template of the mitral leaflets is deformed such that the negative log of a Bayesian posterior probability is minimized. The likelihood of the objective function is given by a probabilistic segmentation of the mitral leaflets generated by multi-atlas joint label fusion, while the validity constraints and regularization terms imposed by cm-rep act as shape priors that preserve leaflet topology and constrain model fitting. The method is tested on ten 3D TEE images of human mitral leaflets at mid-diastole, using manual segmentation as the gold standard. |
| Starting Page | 220 |
| Ending Page | 223 |
| File Size | 1511549 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467345613 |
| ISSN | 19485719 |
| e-ISBN | 9781467345620 |
| DOI | 10.1109/ULTSYM.2012.0055 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-07 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Valves Deformable models Geometry Solid modeling Joints Manuals multi-atlas segmentation 3D ultrasound mitral valve deformable medial modeling |
| Content Type | Text |
| Resource Type | Article |
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