Conference item
MRI-based heart and torso personalization for computer modeling and simulation of cardiac electrophysiology
- Abstract:
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In the last decade, electrophysiological models for in-silico simulations of cardiac electrophysiology have gained much attention in the research field. However, to translate them to clinical uses, the models need personalization based on recordings from the patient. In this work, we explore methodologies for the patient-specific personalization of torso and heart geometric models based on standard clinical cardiac magnetic resonance acquisitions to enable simulations. The inclusion of the to...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
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(Accepted manuscript, pdf, 1.1MB)
-
- Publisher copy:
- 10.1007/978-3-319-67552-7_8
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Authors
Funding
+ European Commission
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Funding agency for:
Zacur, E
Grant:
655020-
DTI4micro-MSCA-IF-EF-ST
+ Wellcome Trust
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Funding agency for:
Minchole, A
Grant:
Senior
Research Fellowship in Basic Biomedical Sciences to BR
+ Research Councils UK
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Funding agency for:
Villard, B
Grant:
Digital Economy Programme grant number EP/G036861/1
+ British Heart Foundation
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Funding agency for:
Ariga, R
Grant:
Clinical Research Training Fellowship
+ Wellcome Trust
More from this funder
Funding agency for:
Rodriguez, B
Grant:
Senior
Research Fellowship in Basic Biomedical Sciences
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Bibliographic Details
- Publisher:
- Springer, Cham Publisher's website
- Journal:
- BIVPCS 2017, POCUS 2017: Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound Journal website
- Volume:
- 10549
- Pages:
- 61-70
- Series:
- Lecture Notes in Computer Science
- Host title:
- BIVPCS 2017, POCUS 2017: Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound
- Publication date:
- 2017-09-08
- Acceptance date:
- 2017-03-10
- DOI:
- ISSN:
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0302-9743
- Source identifiers:
-
734521
- ISBN:
- 9783319675510
Item Description
- Pubs id:
-
pubs:734521
- UUID:
-
uuid:5e4f4d46-9531-46c4-a5d0-6e729c587a58
- Local pid:
- pubs:734521
- Deposit date:
- 2018-01-30
Terms of use
- Copyright holder:
- Springer International Publishing AG
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Springer International Publishing AG. This is the accepted manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/978-3-319-67552-7_8
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