Butakoff, C., Balocco, S., Sukno, F.M. et al. (4 more authors) (2016) Left-ventricular epi- and endocardium extraction from 3D ultrasound images using an automatically constructed 3D ASM. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 4 (5). pp. 265-280. ISSN 2168-1163
Abstract
© 2014 Taylor & Francis.In this paper, we propose an automatic method for constructing an active shape model (ASM) to segment the complete cardiac left ventricle in 3D ultrasound (3DUS) images, which avoids costly manual landmarking. The automatic construction of the ASM has already been addressed in the literature; however, the direct application of these methods to 3DUS is hampered by a high level of noise and artefacts. Therefore, we propose to construct the ASM by fusing the multidetector computed tomography data, to learn the shape, with the artificially generated 3DUS, in order to learn the neighbourhood of the boundaries. Our artificial images were generated by two approaches: a faster one that does not take into account the geometry of the transducer, and a more comprehensive one, implemented in Field II toolbox. The segmentation accuracy of our ASM was evaluated on 20 patients with left-ventricular asynchrony, demonstrating plausibility of the approach.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an Accepted Manuscript of an article published by Taylor & Francis in 'Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization' on 29th April 2014, available online: http://www.tandfonline.com/10.1080/21681163.2014.910703 |
Keywords: | ASM; cardiac segmentation; statistical model; shape model; 3D ultrasound; cardiac segmentation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 EUHEART - 224495 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 31 Aug 2016 09:37 |
Last Modified: | 20 Mar 2018 22:15 |
Published Version: | http://dx.doi.org/10.1080/21681163.2014.910703 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/21681163.2014.910703 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104181 |