Evidence map›Paper›PMID 27182096›Full record

ArticleComputer aided geometric design2016

Biomechanics Simulations Using Cubic Hermite Meshes with Extraordinary Nodes for Isogeometric Cardiac Modeling.

Adarsh Krishnamurthy, Matthew J Gonzales, Gregory Sturgeon, W Paul Segars, Andrew D McCulloch

Open access · greenAbstract read
In one paragraph

Article in Computer aided geometric design, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors at 5 institutions in 1 country.

Adarsh KrishnamurthyMechanical Engineering, Iowa State University; Bioengineering, University of California, San Diego.
Matthew J GonzalesBioengineering, University of California, San Diego.
Gregory SturgeonCarl E. Ravin Advanced Imaging Laboratories, Duke University.
W Paul SegarsCarl E. Ravin Advanced Imaging Laboratories, Duke University.
Andrew D McCullochBioengineering, University of California, San Diego.
Advanced Imaging Research (United States) · USDuke University · USIowa State University · USLa Jolla Bioengineering Institute · USUniversity of California, San Diego · US

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
CARDIOVASCULAR SURGERY/BIOENGINEERING TRAININGT32HL007089 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU · 1985 to 2009
$9.3M
The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
Training in Multi-Scale Analysis of Biological Structure and FunctionT32EB009380 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrew D. McCulloch, Padmini Rangamani · 2009 to 2026
$4.8M
Integrative Bioengineering of Heart, Vessels, and BloodT32HL105373 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, INTAGLIETTA, MARCOS · 2010 to 2019
$3.6M
Multi-scale Systems Model of Murine Heart FailureR01HL105242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BERS, DONALD M, MCCULLOCH, ANDREW D. · 2012 to 2016
$3.5M
Analyzing the Cardiac Power Grid: Adaptive responses to fluctuating local demandU01HL122199 · NHLBI · UNIVERSITY OF WASHINGTON · PI BEARD, DANIEL A, DASH, RANJAN K · 2015 to 2019
$3.3M
Multi-Scale Model of the Human Heart for Imaging ResearchR01HL091036 · NHLBI · DUKE UNIVERSITY · PI SEGARS, WILLIAM P · 2009 to 2012
$2.1M
Multi-Scale Modeling of the Failing Heart for Cardiac Rysynchronization TherapyR01HL096544 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D. · 2009 to 2013
$1.8M
Modeling and analysis of the mechanochemical processes that govern clathrin-mediated endocytosisR01GM132106 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RANGAMANI, PADMINI · 2020 to 2024
$1.5M
NHLBI NIH HHS R01 HL091036NHLBI NIH HHS R01 HL096544NHLBI NIH HHS R01 HL105242NHLBI NIH HHS R01 HL121754NHLBI NIH HHS T32 HL007089NHLBI NIH HHS T32 HL105373NHLBI NIH HHS U01 HL122199NIBIB NIH HHS T32 EB009380NIGMS NIH HHS P41 GM103426NIGMS NIH HHS R01 GM132106
6 · The paper itself

Abstract

Cubic Hermite hexahedral finite element meshes have some well-known advantages over linear tetrahedral finite element meshes in biomechanical and anatomic modeling using isogeometric analysis. These include faster convergence rates as well as the ability to easily model rule-based anatomic features such as cardiac fiber directions. However, it is not possible to create closed complex objects with only regular nodes; these objects require the presence of extraordinary nodes (nodes with 3 or >= 5 adjacent elements in 2D) in the mesh. The presence of extraordinary nodes requires new constraints on the derivatives of adjacent elements to maintain continuity. We have developed a new method that uses an ensemble coordinate frame at the nodes and a local-to-global mapping to maintain continuity. In this paper, we make use of this mapping to create cubic Hermite models of the human ventricles and a four-chamber heart. We also extend the methods to the finite element equations to perform biomechanics simulations using these meshes. The new methods are validated using simple test models and applied to anatomically accurate ventricular meshes with valve annuli to simulate complete cardiac cycle simulations.

Indexed as

Cardiac ModelingCubic-Hermite Hexahedral ElementsExtraordinary NodesFinite Element AnalysisIsogeometric Analysis

Identifiers

PMID27182096
PMCPMC4862616
OpenAlexW2285185903

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.