Segmentation of LG Enhanced Cardiac MRI

Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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