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Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion

Zuluaga, MA; Cardoso, MJ; Modat, M; Ourselin, S; (2013) Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion. In: Ourselin, S and Rueckert, D and Smith, N, (eds.) Functional Imaging and Modeling of the Heart: 7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings. (pp. 174 - 181). Springer Berlin Heidelberg: Berlin, Germany. Green open access

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Abstract

Accurate segmentation of the whole heart from 3D image sequences is an important step in the developement of clinical applications. As manual delineation is a tedious task that is prone to errors and dependant on the expertise of the observer, fully automated segmentation methods are highly desirable. In this work, we present a fully automated method for the segmentation of the whole heart and the great vessels from 3D images. The method is based on a muti-atlas propagation segmentation scheme, that has been proven to be succesful in brain segmentation. Based on a cross correlation metric, our method selects the best atlases for propagation allowing the refinement of the segmentation at each iteration of the propagation. We show that our method allows segmentation from multiple image modalities by validating it on computed tomography angiography (CTA) and magnetic resonance images (MRI). Our results are comparable to state-of-the-art methods on CTA and MRI with average Dice scores of 90.9% and 89.0% for the whole heart when evaluated on a 23 and 8 cases, respectively.

Type: Proceedings paper
Title: Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion
Event: 7th International Conference, FIMH 2013
ISBN-13: 9783642388989
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-642-38899-6_21
Publisher version: http://dx.doi.org/10.1007/978-3-642-38899-6_21
Language: English
Additional information: Copyright © Springer-Verlag Berlin Heidelberg 2013. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-38899-6_21.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1420261
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