Conference proceeding
Automated classification of wall motion abnormalities by principal component analysis of endocardial shape motion patterns in echocardiograms
Proceedings of SPIE, Vol.5032(1), pp.38-49
Medical Imaging 2003: Image Processing
05/16/2003
DOI: 10.1117/12.481135
Abstract
Principal Component Analysis of sets of temporal shape sequences renders eigenvariations of shape/motion, including typical normal and pathological endocardial contraction patterns. A previously developed Active Appearance Model for time sequences (AAMM) was employed to derive AAMM shape coefficients (ASCs) and we hypothesized these would allow classification of wall motion abnormalities (WMA). A set of stress echocardiograms (single-beat 4-chamber and 2-chamber sequences with expert-verified endocardial contours) of 129 infarct patients was split randomly into training (n=65) and testing (n=64) sets. AAMMs were generated from the training set and for all sequences ASCs were extracted and statistically related to regional/global Visual Wall Motion Scoring (VWMS) and clinical infarct severity and volumetric parameters. Linear regression showed clear correlations between ASCs and VWMS. Infarct severity measures correlated poorly to both ASCs and VWMS. Discriminant analysis showed good prediction from low #ASCs of both segmental (85% correctness) and global WMA (90% correctness). Volumetric parameters correlated poorly to regional VWMS. Conclusions: 1)ASCs show promising accuracy for automated WMA classification. 2)VWMS and endocardial border motion are closely related; with accurate automated border detection, automated WMA classification should be feasible. 3)ASC shape analysis allows contour set evaluation by direct comparison to clinical parameters.
Details
- Title: Subtitle
- Automated classification of wall motion abnormalities by principal component analysis of endocardial shape motion patterns in echocardiograms
- Creators
- Johan G Bosch - Leiden Univ. Medical Ctr. (Netherlands)Francisca Nijland - Vrije Univ. Medical Ctr. (Netherlands)Steven C Mitchell - Univ. of Iowa (USA)Boudewijn P. F Lelieveldt - Leiden Univ. Medical Ctr. (Netherlands)Otto Kamp - Vrije Univ. Medical Ctr. (Netherlands)Milan Sonka - Univ. of Iowa (USA)Johan H. C Reiber - Leiden Univ. Medical Ctr. (Netherlands)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.5032(1), pp.38-49
- Conference
- Medical Imaging 2003: Image Processing
- DOI
- 10.1117/12.481135
- ISSN
- 0277-786X
- Language
- English
- Date published
- 05/16/2003
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047857902771
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