loading
Papers

Research.Publish.Connect.

Paper

Authors: Eva Costa 1 ; Nelson Martins 2 ; Malik Saad Sultan 3 ; Diana Veiga 1 ; Manuel João Ferreira 4 ; Sandra Mattos 5 and Miguel Coimbra 3

Affiliations: 1 Enermeter, Sistemas de Medição and Lda, Portugal ; 2 Enermeter, Sistemas de Medição, Lda, Faculdade de Ciências and Universidade do Porto, Portugal ; 3 Faculdade de Ciências, Universidade do Porto and Instituto de Telecomunicações, Portugal ; 4 Enermeter, Sistemas de Medição, Lda and University of Minho, Portugal ; 5 Círculo do Coração de Pernambuco, Brazil

ISBN: 978-989-758-215-8

Keyword(s): Mitral Regurgitation, Echocardiography, Segmentation, Doppler, Heart, Medical Image Processing.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomechanical Imaging ; Biomedical Engineering ; Image Processing Methods ; Medical Imaging and Diagnosis ; Ultrasound and Optical Imaging

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 frame s 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). (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.217.242

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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: BIOIMAGING, (BIOSTEC 2017) ISBN 978-989-758-215-8, pages 47-54. DOI: 10.5220/0006248900470054

@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: BIOIMAGING, (BIOSTEC 2017)},
year={2017},
pages={47-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006248900470054},
isbn={978-989-758-215-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: 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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.