Automated analysis of three-dimensional stress echocardiography |
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| Authors: | K. Y. E. Leung M. van Stralen M. G. Danilouchkine G. van Burken M. L. Geleijnse J. H. C. Reiber N. de Jong A. F. W. van der Steen J. G. Bosch |
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| Affiliation: | 1Erasmus MC, Thoraxcenter – Biomedical Engineering, Office Ee2302, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands ;2Cardiology, Thoraxcenter, Erasmus MC, Office Ba-304, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands ;3Division Image Processing, Radiology, Leiden University Medical Center, Leiden, the Netherlands ;4ICIN – Interuniversity Cardiology Institute of the Netherlands, Utrecht, the Netherlands |
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| Abstract: | Real-time three-dimensional (3D) ultrasound imaging has been proposed as an alternative for two-dimensional stress echocardiography for assessing myocardial dysfunction and underlying coronary artery disease. Analysis of 3D stress echocardiography is no simple task and requires considerable expertise. In this paper, we propose methods for automated analysis, which may provide a more objective and accurate diagnosis. Expert knowledge is incorporated via statistical modelling of patient data. Methods for identifying anatomical views, detecting endocardial borders, and classification of wall motion are described and shown to provide favourable results. We also present software developed especially for analysis of 3D stress echocardiography in clinical practice. Interobserver agreement in wall motion scoring is better using the dedicated software (96%) than commercially available software not dedicated for this purpose (79%). The developed tools may provide useful quantitative and objective parameters to assist the clinical expert in the diagnosis of left ventricular function. |
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