Evidence map›Paper›PMID 28549603›Full record

ArticleJournal of biomechanics2017

An augmented iterative method for identifying a stress-free reference configuration in image-based biomechanical modeling.

Manuel K Rausch, Martin Genet, Jay D Humphrey

Abstract read
In one paragraph

Article in Journal of biomechanics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026
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  4. FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.Computer methods in applied mechanics and engineering · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Inverse problems in blood flow modeling: A review.International journal for numerical methods in biomedical engineering · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Tricuspid valve leaflet strains in the beating ovine heart.Biomechanics and modeling in mechanobiology · 2019
    Article
  15. Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization.International journal for numerical methods in biomedical engineering · 2018
    Article
  16. 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

3 authors.

Manuel K RauschDepartment of Biomedical Engineering, Yale University, United States; Department of Aerospace Engineering & Engineering Mechanics, University of Texas at Austin, United States. Electronic address: manuel.rausch@utexas.edu.
Martin GenetLMS, École Polytechnique, CNRS, Université Paris-Saclay, France; Inria, Université Paris-Saclay, France.
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, United States.

Funding

IMMUNOHEMATOLOGY/TRANSFUSION MEDICINE RESEARCH TRAININGT32HL007974 · NHLBI · YALE UNIVERSITY · PI JEANNE E HENDRICKSON, Diane S Krause · 2001 to 2026
$8.1M
Biomechanical Simulation of Evolving Aortic Aneurysms for Designing InterventionR01HL086418 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D. · 2008 to 2017
$3.8M
Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic DissectionU01HL116323 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2013 to 2017
$2.4M
NHLBI NIH HHS R01 HL086418NHLBI NIH HHS T32 HL007974NHLBI NIH HHS U01 HL116323
6 · The paper itself

Abstract

Continued advances in computational power and methods have enabled image-based biomechanical modeling to become an important tool in basic science, diagnostic and therapeutic medicine, and medical device design. One of the many challenges of this approach, however, is identification of a stress-free reference configuration based on in vivo images of loaded and often prestrained or residually stressed soft tissues and organs. Fortunately, iterative methods have been proposed to solve this inverse problem, among them Sellier's method. This method is particularly appealing because it is easy to implement, convergences reasonably fast, and can be coupled to nearly any finite element package. By means of several practical examples, however, we demonstrate that in its original formulation Sellier's method is not optimally fast and may not converge for problems with large deformations. Fortunately, we can also show that a simple, inexpensive augmentation of Sellier's method based on Aitken's delta-squared process can not only ensure convergence but also significantly accelerate the method.

Indexed as

Models, BiologicalBiomechanical PhenomenaFinite Element AnalysisAitken’s delta-squared processFixed-point methodsImage-based biomechanical modelingInverse methodsStress-free reference configuration

Identifiers

PMID28549603
PMCPMC8384073

What OpenQuestion holds

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Registered trials

None linked

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.