Paper
12 March 2010 Artifact aware tracking of left ventricular contours in 3D ultrasound
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Abstract
The analysis of echocardiograms, whether visual or automated, is often hampered by ultrasound artifacts which obscure the moving myocardial wall. In this study, a probabilistic framework for tracking the endocardial surface in 3D ultrasound images is proposed, which distinguishes between visible and artifact-obscured myocardium. Motion estimation of visible myocardium relies more using a local, data-driven tracker, whereas tracking of obscured myocardium is assisted by a global, statistical model of cardiac motion. To make this distinction, the expectation-maximization algorithm is applied in a stationary and dynamic frame-of-reference. Evaluation on 35 three-dimensional echocardiographic sequences shows that this artifact-aware tracker gives better results than when no distinction is made. In conclusion, the proposed tracker is able to reduce the influence of artifacts, potentially improving quantitative analysis of clinical quality echocardiograms.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. Y. Esther Leung, Mikhail D. Danilouchkine, Marijn van Stralen, Nico de Jong, Antonius F. W. van der Steen, and Johan G. Bosch "Artifact aware tracking of left ventricular contours in 3D ultrasound", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76230R (12 March 2010); https://doi.org/10.1117/12.843431
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Cited by 1 scholarly publication.
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KEYWORDS
Motion estimation

Motion models

Ultrasonography

Optical flow

Optical tracking

Statistical analysis

Expectation maximization algorithms

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