Corrado, C., Williams, S., Sim, I. et al. (6 more authors) (2018) An algorithm to sample an anatomy with uncertainty. In: 2018 Computing in Cardiology Conference (CinC). 2018 Computing in Cardiology Conference, 23-26 Sep 2018, Maastricht, The Netherlands. Computing in Cardiology ISBN 9781728109589
Abstract
Image artefact, resolution and contrast all impact our ability to quantify anatomy. In the context of patientspecific simulations this uncertainty in shape can lead to uncertainty in model predictions. We propose and apply a method for quantifying uncertainty in shape and demonstrate the impact of uncertain shape on activation time predictions in a model of cardiac electrophysiology activation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Author(s). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council (EPSRC) EP/P010741/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Aug 2019 14:07 |
Last Modified: | 01 Aug 2019 14:07 |
Status: | Published online |
Publisher: | Computing in Cardiology |
Refereed: | Yes |
Identification Number: | 10.22489/cinc.2018.078 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148972 |