Surface-based electrophysiology modeling and assessment of physiological simulations in atria

Annabelle Collin; Jean Frédéric Gerbeau; Mélèze Hocini; Michel Haïssaguerre; Dominique Chapelle

doi:10.1007/978-3-642-38899-6_42

Surface-based electrophysiology modeling and assessment of physiological simulations in atria

Annabelle Collin
, Jean Frédéric Gerbeau
, Mélèze Hocini
, Michel Haïssaguerre
, Dominique Chapelle

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The objective of this paper is to assess a previously-proposed surface-based electrophysiology model with detailed atrial simulations. This model - derived and substantiated by mathematical arguments - is specifically designed to address thin structures such as atria, and to take into account strong anisotropy effects related to fiber directions with possibly rapid variations across the wall thickness. The simulation results are in excellent adequacy with previous studies, and confirm the importance of anisotropy effects and variations thereof. Furthermore, this surface-based model provides dramatic computational benefits over 3D models with preserved accuracy.

Original language	English
Title of host publication	Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings
Pages	352-359
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-38899-6_42
Publication status	Published - 11 Jul 2013
Externally published	Yes
Event	7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 - London, United Kingdom Duration: 20 Jun 2013 → 22 Jun 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7945 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013
Country/Territory	United Kingdom
City	London
Period	20/06/13 → 22/06/13

Access to Document

10.1007/978-3-642-38899-6_42

Cite this

Collin, A., Gerbeau, J. F., Hocini, M., Haïssaguerre, M., & Chapelle, D. (2013). Surface-based electrophysiology modeling and assessment of physiological simulations in atria. In Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings (pp. 352-359). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7945 LNCS). https://doi.org/10.1007/978-3-642-38899-6_42

Collin, Annabelle ; Gerbeau, Jean Frédéric ; Hocini, Mélèze et al. / Surface-based electrophysiology modeling and assessment of physiological simulations in atria. Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings. 2013. pp. 352-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Surface-based electrophysiology modeling and assessment of physiological simulations in atria",

abstract = "The objective of this paper is to assess a previously-proposed surface-based electrophysiology model with detailed atrial simulations. This model - derived and substantiated by mathematical arguments - is specifically designed to address thin structures such as atria, and to take into account strong anisotropy effects related to fiber directions with possibly rapid variations across the wall thickness. The simulation results are in excellent adequacy with previous studies, and confirm the importance of anisotropy effects and variations thereof. Furthermore, this surface-based model provides dramatic computational benefits over 3D models with preserved accuracy.",

author = "Annabelle Collin and Gerbeau, \{Jean Fr{\'e}d{\'e}ric\} and M{\'e}l{\`e}ze Hocini and Michel Ha{\"i}ssaguerre and Dominique Chapelle",

year = "2013",

month = jul,

day = "11",

doi = "10.1007/978-3-642-38899-6\_42",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "352--359",

booktitle = "Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings",

note = "7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 ; Conference date: 20-06-2013 Through 22-06-2013",

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Collin, A, Gerbeau, JF, Hocini, M, Haïssaguerre, M & Chapelle, D 2013, Surface-based electrophysiology modeling and assessment of physiological simulations in atria. in Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7945 LNCS, pp. 352-359, 7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013, London, United Kingdom, 20/06/13. https://doi.org/10.1007/978-3-642-38899-6_42

Surface-based electrophysiology modeling and assessment of physiological simulations in atria. / Collin, Annabelle; Gerbeau, Jean Frédéric; Hocini, Mélèze et al.
Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings. 2013. p. 352-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7945 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Surface-based electrophysiology modeling and assessment of physiological simulations in atria

AU - Collin, Annabelle

AU - Gerbeau, Jean Frédéric

AU - Hocini, Mélèze

AU - Haïssaguerre, Michel

AU - Chapelle, Dominique

PY - 2013/7/11

Y1 - 2013/7/11

N2 - The objective of this paper is to assess a previously-proposed surface-based electrophysiology model with detailed atrial simulations. This model - derived and substantiated by mathematical arguments - is specifically designed to address thin structures such as atria, and to take into account strong anisotropy effects related to fiber directions with possibly rapid variations across the wall thickness. The simulation results are in excellent adequacy with previous studies, and confirm the importance of anisotropy effects and variations thereof. Furthermore, this surface-based model provides dramatic computational benefits over 3D models with preserved accuracy.

AB - The objective of this paper is to assess a previously-proposed surface-based electrophysiology model with detailed atrial simulations. This model - derived and substantiated by mathematical arguments - is specifically designed to address thin structures such as atria, and to take into account strong anisotropy effects related to fiber directions with possibly rapid variations across the wall thickness. The simulation results are in excellent adequacy with previous studies, and confirm the importance of anisotropy effects and variations thereof. Furthermore, this surface-based model provides dramatic computational benefits over 3D models with preserved accuracy.

U2 - 10.1007/978-3-642-38899-6_42

DO - 10.1007/978-3-642-38899-6_42

M3 - Conference contribution

AN - SCOPUS:84879829169

SN - 9783642388989

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 352

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BT - Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings

T2 - 7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013

Y2 - 20 June 2013 through 22 June 2013

ER -

Collin A, Gerbeau JF, Hocini M, Haïssaguerre M, Chapelle D. Surface-based electrophysiology modeling and assessment of physiological simulations in atria. In Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings. 2013. p. 352-359. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-38899-6_42

Surface-based electrophysiology modeling and assessment of physiological simulations in atria

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