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Patient-Specific biomechanical modeling of cardiac amyloidosis – A case study

  • D. Chapelle
  • , A. Felder
  • , R. Chabiniok
  • , A. Guellich
  • , J. F. Deux
  • , T. Damy
  • INRIA
  • St Thomas' Hospital
  • Hôpital Henri Mondor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a patient-specific biomechanical modeling framework and an initial case study for investigating cardiac amyloidosis (CA). Our patient-specific heartbeat simulations are in good agreement with the data, and our model calibration indicates that the major effect of CA in the biophysical behavior lies in a dramatic increase of the passive stiffness. We also conducted a preliminary trial for predicting the effects of pharmacological treatments – which is an important clinical challenge – based on the model combined with a simple venous return representation. This requires further investigation and validation, albeit provides some valuable preliminary insight.

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 8th International Conference, FIMH 2015, Proceedings
EditorsHans van Assen, Peter Bovendeerd, Hans van Assen, Peter Bovendeerd, Tammo Delhaas, Tammo Delhaas
PublisherSpringer Verlag
Pages295-303
Number of pages9
ISBN (Print)9783319203089, 9783319203089
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015 - Maastricht, Netherlands
Duration: 25 Jun 201527 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9126
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015
Country/TerritoryNetherlands
CityMaastricht
Period25/06/1527/06/15

Keywords

  • Amyloidosis
  • Cardiac modelling
  • Heart failure
  • Patient-specific

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