Evidence map›Paper›PMID 28098434›Full record

ArticleInternational journal for numerical methods in biomedical engineering2017

Method for the unique identification of hyperelastic material properties using full-field measures. Application to the passive myocardium material response.

Luigi E Perotti, Aditya V S Ponnaluri, Shankarjee Krishnamoorthi, Daniel Balzani, Daniel B Ennis, William S Klug

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Contemporary Look at Biomechanical Models of Myocardium.Annual review of biomedical engineering · 2019
    Review
  6. Microstructurally Anchored Cardiac Kinematics by CombiningFunctional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Luigi E PerottiDepartment of Radiological Sciences and Department of Bioengineering, University of California, Los Angeles, USA.ORCID 0000-0002-9010-2144
Aditya V S PonnaluriDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, USA.
Shankarjee KrishnamoorthiDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, USA.
Daniel BalzaniInstitute of Mechanics and Shell Structures and Dresden Center of Computational Materials Science, TU Dresden, Dresden, Germany.
Daniel B EnnisDepartment of Radiological Sciences and Department of Bioengineering, University of California, Los Angeles, USA.
William S KlugDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, USA.

Funding

WAVE DYNAMICS IN NORMAL AND DISEASED RABBIT HEARTSP01HL078931 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JOHN, SCOTT · 2005 to 2015
$20.7M
American Heart Association-American Stroke Association 14POST19890027NHLBI NIH HHS P01 HL078931
6 · The paper itself

Abstract

Quantitative measurement of the material properties (eg, stiffness) of biological tissues is poised to become a powerful diagnostic tool. There are currently several methods in the literature to estimating material stiffness, and we extend this work by formulating a framework that leads to uniquely identified material properties. We design an approach to work with full-field displacement data-ie, we assume the displacement field due to the applied forces is known both on the boundaries and also within the interior of the body of interest-and seek stiffness parameters that lead to balanced internal and external forces in a model. For in vivo applications, the displacement data can be acquired clinically using magnetic resonance imaging while the forces may be computed from pressure measurements, eg, through catheterization. We outline a set of conditions under which the least-square force error objective function is convex, yielding uniquely identified material properties. An important component of our framework is a new numerical strategy to formulate polyconvex material energy laws that are linear in the material properties and provide one optimal description of the available experimental data. An outcome of our approach is the analysis of the reliability of the identified material properties, even for material laws that do not admit unique property identification. Lastly, we evaluate our approach using passive myocardium experimental data at the material point and show its application to identifying myocardial stiffness with an in silico experiment modeling the passive filling of the left ventricle.

Indexed as

ElasticityModels, BiologicalBiophysical PhenomenaHeartconvexityinverse problemsmaterial modelingpassive myocardiumunique identification

Identifiers

PMID28098434
PMCPMC5515704

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.