Conference proceeding
Active appearance motion models for endocardial contour detection in time sequences of echocardiograms
Proceedings of SPIE, Vol.4322(1), pp.257-268
Medical Imaging 2001: Image Processing
07/03/2001
DOI: 10.1117/12.431095
Abstract
Active Appearance Models (AAM) are suitable for segmenting 2D images, but for image sequences time-continuous results are desired. Active Appearance-Motion Models (AAMM) model shape and appearance of the heart over the full cardiac cycle. Single-beat sequences are phase-normalized into stacks of 16 2D images. In a training set, corresponding shape points on the endocard are defined for each image based on expert drawn contours. Shape (2D) and intensity vectors are derived similar to AAM. Intensities are normalized non-linearly to handle ultrasound-specific problems. For all time frames, shape vectors are simply concatenated, as well as and intensity vectors. Principal Component Analysis extracts appearance eigenvariations over the cycle, capturing typical motion patterns. AAMMs perform segmentation on complete sequences by minimizing model-to-target differences, adjusting AAMM eigenvariation coefficients using gradient descent minimization. This results in time-continuous segmentation. The method was trained and tested on echocardiographic 4-chamber sequences of 129 unselected patients split randomly into a training set (n=65) and a test set (n=64). In all sequences, an independent expert manually drew endocardial contours. On the test set, fully automated AAMM performed well in 97% of cases (average distance 3.3 mm, 9.3 pixels, comparable to human inter- and intraobserver variabilities).
Details
- Title: Subtitle
- Active appearance motion models for endocardial contour detection in time sequences of echocardiograms
- Creators
- Hans G Bosch - Leiden UniversitySteven C Mitchell - University of IowaBoudewijn P. F Lelieveldt - Leiden UniversityFrancisca Nijland - Free Univ. Hospital (Netherlands)Otto Kamp - Free Univ. Hospital (Netherlands)Milan Sonka - University of IowaJohan H. C Reiber - Leiden University
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.4322(1), pp.257-268
- Conference
- Medical Imaging 2001: Image Processing
- DOI
- 10.1117/12.431095
- ISSN
- 0277-786X
- Language
- English
- Date published
- 07/03/2001
- 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
- 9984186602302771
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