Abstract
In this paper we present a semi-automatic system for the analysis of echocardiographic image sequences, able to provide useful information to cardiologists. The proposed approach combines well known techniques for the detection of left ventricular boundaries with the computation of optical flow. The initial detection of the cavity contour is based on an improved balloon model, the computation of optical flow is performed with a correlation technique and the contour tracking is obtained combining motion information provided by the optical flow with a snake-based regularization. The system is able to follow precisely the cavities motion, to provide several quantitative features of the heart beat and a dynamic representation of systolic and diastolic motion. Preliminary experimental results are presented and commented.
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© 1995 Springer-Verlag Berlin Heidelberg
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Giachetti, A., Gigli, G., Torre, V. (1995). Computer Assisted Analysis of Echocardiographic Image Sequences. In: Ayache, N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. CVRMed 1995. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49197-2_33
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DOI: https://doi.org/10.1007/978-3-540-49197-2_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59120-7
Online ISBN: 978-3-540-49197-2
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