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
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.