• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
  • Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Shape parametrization of bio-mechanical finite element models based on medical images

Article dans une revue avec comité de lecture
Author
LAUZERAL, Nathan
111023 École Centrale de Nantes [ECN]
BORZACCHIELLO, Domenico
111023 École Centrale de Nantes [ECN]
KUGLER, Michaël
217648 Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie [ICube]
GEORGE, Daniel
217648 Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie [ICube]
RÉMOND, Yves
217648 Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie [ICube]
HOSTETTLER, Alexandre
302738 l'Institut de Recherche contre les Cancers de l'Appareil Digestif (IRCAD)
ccCHINESTA SORIA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/18605
DOI
10.1080/21681163.2018.1447400
Date
2019
Journal
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Abstract

The main objective of this study is to combine the statistical shape analysis with a morphing procedure in order to generate shape-parametric finite element models of tissues and organs and to explore the reliability and the limitations of this approach when applied to databases of real medical images. As classical statistical shape models are not always adapted to the morphing procedure, a new registration method was developed in order to maximize the morphing efficiency. The method was compared to the traditional iterative thin plate spline (iTPS). Two data sets of 33 proximal femora shapes and 385 liver shapes were used for the comparison. The principal component analysis was used to get the principal morphing modes. In terms of anatomical shape reconstruction (evaluated through the criteria of generalization, compactness and specificity), our approach compared fairly well to the iTPS method, while performing remarkably better in terms of mesh quality, since it was less prone to generate invalid meshes in the interior. This was particularly true in the liver case. Such methodology offers a potential application for the generation of automated finite element (FE) models from medical images. Parametrized anatomical models can also be used to assess the influence of inter-patient variability on the biomechanical response of the tissues. Indeed, thanks to the shape parametrization the user would easily have access to a valid FE model for any shape belonging to the parameters subspace.

Files in this item

Name:
PIMM_CMBBE_2019_CHINESTA.pdf
Size:
2.005Mb
Format:
PDF
Description:
Article
View/Open

Collections

  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Related items

Showing items related by title, author, creator and subject.

  • A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications. 
    Article dans une revue avec comité de lecture
    LAUZERAL, Nathan; BORZACCHIELLO, Domenico; KUGLER, Michael; RÉMOND, Yves; GEORGE, Daniel; HOSTETTLER, Alexandre; ccCHINESTA SORIA, Francisco (Elsevier, 2019)
    Background and objective: This paper focuses on computer simulation aspects of Digital Twin models in the medical framework. In particular, it addresses the need of fast and accurate simulators for the mechanical response ...
  • Non-intrusive Sparse Subspace Learning for Parametrized Problems 
    Article dans une revue avec comité de lecture
    BORZACCHIELLO, Domenico; AGUADO, José Vicente; ccCHINESTA SORIA, Francisco (Springer Verlag, 2019)
    We discuss the use of hierarchical collocation to approximate the numerical solution of parametric models. With respect to traditional projection-based reduced order modeling, the use of a collocation enables non-intrusive ...
  • Advanced parametric space-frequency separated representations in structural dynamics: A harmonic–modal hybrid approach 
    Article dans une revue avec comité de lecture
    MUHAMMAD HARIS, Malik; BORZACCHIELLO, Domenico; AGUADO, José Vicente; ccCHINESTA SORIA, Francisco (Elsevier Masson, 2018)
    This paper is concerned with the solution to structural dynamics equations. The technique here presented is closely related to Harmonic Analysis, and therefore it is only concerned with the long-term forced response. Proper ...
  • Tensor Representation of Non-linear Models Using Cross Approximations 
    Article dans une revue avec comité de lecture
    AGUADO, Jose Vicente; BORZACCHIELLO, Domenico; KOLLEPARA, Kiran S.; HUERTA, Antonio; ccCHINESTA SORIA, Francisco (Springer Verlag, 2019)
    Tensor representations allow compact storage and efficient manipulation of multi-dimensional data. Based on these, tensor methods build low-rank subspaces for the solution of multi-dimensional and multi-parametric models. ...
  • Induction machine model with finite element accuracy for condition monitoring running in real time using hardware in the loop system 
    Article dans une revue avec comité de lecture
    SAPENA-BAÑÓ, Angel; AGUADO, Jose Vicente; BORZACCHIELLO, Domenico; PUCHE-PANADERO, Rubén; ccCHINESTA SORIA, Francisco (Elsevier, 2019)
    Most industrial processes are run by induction machines (IMs). Condition monitoring of IM assures their continuity of service, and it may avoid highly costly breakdowns. Among the methods for condition monitoring, on-line ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales