Myocardial stiffness estimation: A novel cost function for unique parameter identification

Anastasia Nasopoulou; Bojan Blazevic; Andrew Crozier; Wenzhe Shi; Anoop Shetty; C. Aldo Rinaldi; Pablo Lamata; Steven Niederer

doi:10.1007/978-3-319-20309-6_41

Myocardial stiffness estimation: A novel cost function for unique parameter identification

Anastasia Nasopoulou^*, Bojan Blazevic, Andrew Crozier, Wenzhe Shi, Anoop Shetty, C. Aldo Rinaldi, Pablo Lamata, Steven Niederer

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Myocardial stiffness is a clinical biomarker used to diagnose and stratify diseases such as heart failure. This biomechanical property can be inferred from the personalisation of computational cardiac models to clinical measures. Nevertheless, previous attempts have been unable to determine a unique set of material constitutive parameters. In this study we address this shortcoming by proposing a new cost function that allows us to uncouple key parameters and uniquely describe passive material properties in patients from available clinical data.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer-Verlag Berlin Heidelberg
Pages	355-363
Number of pages	9
Volume	9126
ISBN (Print)	9783319203089, 9783319203089
DOIs	https://doi.org/10.1007/978-3-319-20309-6_41
Publication status	Published - 21 Jun 2015
Event	8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015 - Maastricht, Netherlands Duration: 25 Jun 2015 → 27 Jun 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9126
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015
Country/Territory	Netherlands
City	Maastricht
Period	25/06/2015 → 27/06/2015

Keywords

Cardiac mechanics
Diastolic biomarkers
Myocardial characterisation
Myocardial stiffness
Parameter estimation

Access to Document

10.1007/978-3-319-20309-6_41

Cite this

Nasopoulou, A., Blazevic, B., Crozier, A., Shi, W., Shetty, A., Aldo Rinaldi, C., Lamata, P., & Niederer, S. (2015). Myocardial stiffness estimation: A novel cost function for unique parameter identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9126, pp. 355-363). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9126). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-319-20309-6_41

Nasopoulou, Anastasia ; Blazevic, Bojan ; Crozier, Andrew et al. / Myocardial stiffness estimation : A novel cost function for unique parameter identification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9126 Springer-Verlag Berlin Heidelberg, 2015. pp. 355-363 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Nasopoulou, A, Blazevic, B, Crozier, A, Shi, W, Shetty, A, Aldo Rinaldi, C, Lamata, P & Niederer, S 2015, Myocardial stiffness estimation: A novel cost function for unique parameter identification. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9126, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9126, Springer-Verlag Berlin Heidelberg, pp. 355-363, 8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015, Maastricht, Netherlands, 25/06/2015. https://doi.org/10.1007/978-3-319-20309-6_41

Myocardial stiffness estimation: A novel cost function for unique parameter identification. / Nasopoulou, Anastasia; Blazevic, Bojan; Crozier, Andrew et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9126 Springer-Verlag Berlin Heidelberg, 2015. p. 355-363 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9126).

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

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T1 - Myocardial stiffness estimation

T2 - 8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015

AU - Nasopoulou, Anastasia

AU - Blazevic, Bojan

AU - Crozier, Andrew

AU - Shi, Wenzhe

AU - Shetty, Anoop

AU - Aldo Rinaldi, C.

AU - Lamata, Pablo

AU - Niederer, Steven

PY - 2015/6/21

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AB - Myocardial stiffness is a clinical biomarker used to diagnose and stratify diseases such as heart failure. This biomechanical property can be inferred from the personalisation of computational cardiac models to clinical measures. Nevertheless, previous attempts have been unable to determine a unique set of material constitutive parameters. In this study we address this shortcoming by proposing a new cost function that allows us to uncouple key parameters and uniquely describe passive material properties in patients from available clinical data.

KW - Cardiac mechanics

KW - Diastolic biomarkers

KW - Myocardial characterisation

KW - Myocardial stiffness

KW - Parameter estimation

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Nasopoulou A, Blazevic B, Crozier A, Shi W, Shetty A, Aldo Rinaldi C et al. Myocardial stiffness estimation: A novel cost function for unique parameter identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9126. Springer-Verlag Berlin Heidelberg. 2015. p. 355-363. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-20309-6_41

Myocardial stiffness estimation: A novel cost function for unique parameter identification

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