Conference proceeding
Fully automated endocardial contour detection in time sequences of echocardiograms by three-dimensional active appearance models
Proceedings of SPIE, Vol.4684(1), pp.452-462
Medical Imaging 2002: Image Processing, 2002 (San Diego, California, 2002–2002)
05/15/2002
DOI: 10.1117/12.467187
Abstract
A novel 3-D Active Appearance Model (3-D AAM) is applied to fully automated endocardial contour detection in 2-D + time (2DT) 4-chamber ultrasound sequences, without knowledge of cardiac phase (ED/ES frames). 2DT appearance of the heart is modeled in 3-D by converting the stack of 2-D time slices into a 3-D voxel space. In a training set, an expert defines corresponding endocardial contour points for one complete cardiac cycle (ED to ED). 2DT shape is represented as a 3-D surface. Image appearance is modeled as a vector of voxel intensities in a volume-patch spanned by the 3-D surface. Principal Component Analysis extracts eigenvariations of 3-D shape and appearance, capturing typical cardiac motion patterns. 3-D AAM segments the image volume by minimizing 3-D model-to-target intensity differences, adjusting eigenvariation coefficients and 3-D pose using gradient descent minimization. This provides time-continuous border localization for one beat in both time and space. The method was used on 3-beat sequences from 129 patients split randomly into a training (65) and a test set (64). An independent expert manually drew all endocardial contours. 3-D AAM converged well in 89% of test cases. Average absolute temporal error was 37.0 msec, spatial error 3.35 mm, comparable to human inter-observer variabilities.
Details
- Title: Subtitle
- Fully automated endocardial contour detection in time sequences of echocardiograms by three-dimensional active appearance models
- Creators
- Johan G Bosch - Leiden UniversitySteven C Mitchell - University of IowaBoudewijn P. F Lelieveldt - Leiden UniversityFrancisca Nijland - Amsterdam UMC Location Vrije Universiteit AmsterdamOtto Kamp - Amsterdam UMC Location Vrije Universiteit AmsterdamMilan Sonka - University of IowaJohan H. C Reiber - Leiden University
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.4684(1), pp.452-462
- Conference
- Medical Imaging 2002: Image Processing, 2002 (San Diego, California, 2002–2002)
- DOI
- 10.1117/12.467187
- ISSN
- 0277-786X
- Language
- English
- Date published
- 05/15/2002
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984187228602771
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