A Preliminary Approach for the Segmentation of Mitral Valve Regurgitation Jet in Doppler Ecocardiography Images

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

Abstract

Rheumatic Fever and Rheumatic Heart Disease remain a major burden among children in developing countries. Echocardiography with colour flow Doppler is key to early diagnosis. However, the technique requires time and experienced operators, which are scarce resources in the affected areas. Automatic segmentation of colour Doppler regurgitation jets could, potentially, reduce the cost of screening, and spread diagnostic accessibility for a larger number of patients. Ultrasound processing is very challenging due to speckle noise and similarity of representation of all kinds of tissue. Region-based active contours are suitable tools for the segmentation in cases of intensity heterogeneities, which makes them interesting algorithms for left atrium segmentation. HSV colour space describes colour in terms of hues and saturation, which may facilitate the translation of medical interpretation of the Doppler pseudo-colour into mathematical expression for colour segmentation. A total of 979 frames from 20 sequences were manually annotated and used to validate the proposed pipeline. Overall, the results for colour pattern segmentation are promising (sensitivity=0.91 false detection rate=0.10), but further developments are required for the atrium segmentation (sensitivity=0.80, false detection rate=0.28).

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Paper Citation


in Harvard Style

Costa E., Martins N., Sultan M., Veiga D., Ferreira M., Mattos S. and Coimbra M. (2017). A Preliminary Approach for the Segmentation of Mitral Valve Regurgitation Jet in Doppler Ecocardiography Images . 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 47-54. DOI: 10.5220/0006248900470054


in Bibtex Style

@conference{bioimaging17,
author={Eva Costa and Nelson Martins and Malik Saad Sultan and Diana Veiga and Manuel João Ferreira and Sandra Mattos and Miguel Coimbra},
title={A Preliminary Approach for the Segmentation of Mitral Valve Regurgitation Jet in Doppler Ecocardiography Images},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)},
year={2017},
pages={47-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006248900470054},
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 - A Preliminary Approach for the Segmentation of Mitral Valve Regurgitation Jet in Doppler Ecocardiography Images
SN - 978-989-758-215-8
AU - Costa E.
AU - Martins N.
AU - Sultan M.
AU - Veiga D.
AU - Ferreira M.
AU - Mattos S.
AU - Coimbra M.
PY - 2017
SP - 47
EP - 54
DO - 10.5220/0006248900470054