Real-time Anterior Mitral Leaflet Tracking using Morphological Operators and Active Contours

Malik Saad Sultan, Nelson Martins, Eva Costa, Diana Veiga, Manuel João Ferreira, Sandra Mattos, Miguel Tavares Coimbra

Abstract

The mitral valve plays a vital role in our circulatory system. To study its functionality, it is important to measure clinically relevant parameters, such as its thickness, mobility and shape. Since manual segmentation is impractical, time consuming and requires expert knowledge, an automatic segmentation tool can have a significant clinical impact, providing objective measures to clinicians for understanding the morphology and behaviour of the mitral valve. In this work, a real time tracking method has been proposed for ultrasound videos obtained with the Parasternal Long Axis view. The algorithm is semi-automatic, assumes manual Anterior Mitral Leaflet segmentation in the first frame and then it uses mathematical morphology algorithms to obtain tracking results, further refined by localized active contours during the whole cardiac cycle. Finally, the medial axis is extracted for a quantitative analysis. Results show that the algorithm can segment 1137 frames extracted from 9 fully annotated sequences of the real clinical video data in only 0.89 sec/frame, with an average error of 5 pixels. Furthermore, the algorithms exhibited robust tracking performance in the most difficult situations, which are large frame-to-frame displacements.

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Paper Citation


in Harvard Style

Sultan M., Martins N., Costa E., Veiga D., Ferreira M., Mattos S. and Coimbra M. (2017). Real-time Anterior Mitral Leaflet Tracking using Morphological Operators and Active Contours . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017) ISBN 978-989-758-215-8, pages 39-46. DOI: 10.5220/0006244700390046


in Bibtex Style

@conference{bioimaging17,
author={Malik Saad Sultan and Nelson Martins and Eva Costa and Diana Veiga and Manuel João Ferreira and Sandra Mattos and Miguel Tavares Coimbra},
title={Real-time Anterior Mitral Leaflet Tracking using Morphological Operators and Active Contours},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)},
year={2017},
pages={39-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006244700390046},
isbn={978-989-758-215-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)
TI - Real-time Anterior Mitral Leaflet Tracking using Morphological Operators and Active Contours
SN - 978-989-758-215-8
AU - Sultan M.
AU - Martins N.
AU - Costa E.
AU - Veiga D.
AU - Ferreira M.
AU - Mattos S.
AU - Coimbra M.
PY - 2017
SP - 39
EP - 46
DO - 10.5220/0006244700390046