Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/90782
Title: Model order reduction for left ventricular mechanics via congruency training
Authors: Di, Achille, P.
Parikh, J.
Khamzin, S.
Solovyova, O.
Kozloski, J.
Gurev, V.
Issue Date: 2020
Publisher: Public Library of Science
Citation: Model order reduction for left ventricular mechanics via congruency training / P. Di Achille, J. Parikh, S. Khamzin, O. Solovyova, et al. . — DOI 10.1371/journal.pone.0219876 // PLoS ONE. — 2020. — Vol. 1. — Iss. 15. — e0219876.
Abstract: Computational models of the cardiovascular system and specifically heart function are currently being investigated as analytic tools to assist medical practice and clinical trials. To achieve clinical utility, models should be able to assimilate the diagnostic multi-modality data available for each patient and generate consistent representations of the underlying cardiovascular physiology. While finite element models of the heart can naturally account for patient-specific anatomies reconstructed from medical images, optimizing the many other parameters driving simulated cardiac functions is challenging due to computational complexity. With the goal of streamlining parameter adaptation, in this paper we present a novel, multifidelity strategy for model order reduction of 3-D finite element models of ventricular mechanics. Our approach is centered around well established findings on the similarity between contraction of an isolated muscle and the whole ventricle. Specifically, we demonstrate that simple linear transformations between sarcomere strain (tension) and ventricular volume (pressure) are sufficient to reproduce global pressure-volume outputs of 3-D finite element models even by a reduced model with just a single myocyte unit. We further develop a procedure for congruency training of a surrogate low-order model from multiscale finite elements, and we construct an example of parameter optimization based on medical images. We discuss how the presented approach might be employed to process large datasets of medical images as well as databases of echocardiographic reports, paving the way towards application of heart mechanics models in the clinical practice. © 2020 Di Achille et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: ARTICLE
CLINICAL PRACTICE
HEART LEFT VENTRICLE
HUMAN
HUMAN CELL
MECHANICS
MUSCLE FIBER CULTURE
SARCOMERE
TENSION
THREE DIMENSIONAL FINITE ELEMENT ANALYSIS
AGED
BIOLOGICAL MODEL
BIOMECHANICS
CASE REPORT
COMPUTER SIMULATION
DIAGNOSTIC IMAGING
ECHOCARDIOGRAPHY
FEMALE
FINITE ELEMENT ANALYSIS
HEART CONTRACTION
HEART FAILURE
HEART LEFT VENTRICLE FUNCTION
HEART VENTRICLE
MALE
PATHOPHYSIOLOGY
PHYSIOLOGY
AGED
BIOMECHANICAL PHENOMENA
COMPUTER SIMULATION
ECHOCARDIOGRAPHY
FEMALE
FINITE ELEMENT ANALYSIS
HEART FAILURE
HEART VENTRICLES
HUMANS
MALE
MODELS, CARDIOVASCULAR
MYOCARDIAL CONTRACTION
SARCOMERES
VENTRICULAR FUNCTION, LEFT
URI: http://hdl.handle.net/10995/90782
https://elar.urfu.ru/handle/10995/90782
metadata.dc.rights: info:eu-repo/semantics/openAccess
cc-by
SCOPUS ID: 85077608165
WOS ID: 000534327700001
PURE ID: 11899495
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0219876
metadata.dc.description.sponsorship: 19-14- 00134
Russell Sage Foundation, RSF
SK and OS were funded by RSF (http:// www.rscf.ru/en/) as described below. Part of this work was carried out within the framework of the IIF UrB RAS government assignment and was partially supported by the UrFU Competitiveness Enhancement Program (agreement 02. A03.21.0006) as well as the RSF grant (No. 19-14- 00134). The Uran supercomputer at IMM UrB RAS was used for part of the model calculations. IBM provided support in the form of salaries for authors PA, JP, JK and VG but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the "author contributions" section.
RSCF project card: 19-14-00134
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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