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Authors: Kjersti Engan 1 ; Valery Naranjo 2 ; Trygve Eftestøl 1 ; Stein Ørn 3 and Leik Woie 4

Affiliations: 1 University of Stavanger, Norway ; 2 Polytechnic University of Valencia, Spain ; 3 Stavanger Universtiy Hospital, Norway ; 4 Stavanger University Hospital, Norway

ISBN: 978-989-758-072-7

Keyword(s): Cardiac MRI, Segmentation, Late Gadolinium enhanced MRI.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Health Engineering and Technology Applications ; Image Processing Methods ; Magnetic Resonance Imaging ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics

Abstract: In this paper a method for segmentation of the endocardium in Late Gadolinium Enhanced Cardiac Magnetic Resonance (LGE-CMR) images is presented and combined with a previously proposed method for segmentation of the epicardium. The method is fully automatic and based on utilizing a priori knowledge about the type of images. No other image modalities, like CINE images, are used. Using a combination of a rough a priori model and preprocessed images, an a posteriori model is built. The final segmentation step is performed in the polar domain. We compare our results on a set of 395 images from 54 patients with segmentation using marker controlled watershed with different gradient images and different markers. The proposed method gives a mean Dice and Jaccard indices over all images as 0.85 and 0.74 respectively.

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Paper citation in several formats:
Engan, K.; Naranjo, V.; Eftestøl, T.; Ørn, S. and Woie, L. (2015). Segmentation of LG Enhanced Cardiac MRI .In Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015) ISBN 978-989-758-072-7, pages 47-55. DOI: 10.5220/0005169200470055

@conference{bioimaging15,
author={Kjersti Engan. and Valery Naranjo. and Trygve Eftestøl. and Stein Ørn. and Leik Woie.},
title={Segmentation of LG Enhanced Cardiac MRI },
booktitle={Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)},
year={2015},
pages={47-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005169200470055},
isbn={978-989-758-072-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)
TI - Segmentation of LG Enhanced Cardiac MRI
SN - 978-989-758-072-7
AU - Engan, K.
AU - Naranjo, V.
AU - Eftestøl, T.
AU - Ørn, S.
AU - Woie, L.
PY - 2015
SP - 47
EP - 55
DO - 10.5220/0005169200470055

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