Evidence map›Paper›PMID 19414456›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2009

Subject-specific, multiscale simulation of electrophysiology: a software pipeline for image-based models and application examples.

R S MacLeod, J G Stinstra, S Lew, R T Whitaker, D J Swenson, M J Cole, J Krüger, D H Brooks, C R Johnson

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023
    Article
  3. Article
  4. Calibration of ionic and cellular cardiac electrophysiology models.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  5. Article
  6. Article
  7. Article
  8. Epileptogenic focus localization in treatment-resistant post-traumatic epilepsy.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2015
    Review
  9. Patient-specific modelling of cardiac electrophysiology in heart-failure patients.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2014
    Article
  10. Images as drivers of progress in cardiac computational modelling.Progress in biophysics and molecular biology · 2014
    Review
  11. Article
  12. Biomedical Visual Computing: Case Studies and Challenges.Computing in science & engineering · 2012
    Article
  13. Article
  14. Article
  15. 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

9 authors.

R S MacLeodNora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, Salt Lake City, UT 84112, USA. macleod@cvrti.utah.edu
J G Stinstra
S Lew
R T Whitaker
D J Swenson
M J Cole
J Krüger
D H Brooks
C R Johnson

Funding

VOLUME RENDERINGP41RR012553 · NCRR · UNIVERSITY OF UTAH · PI MACLEOD, ROB S. · 1999 to 2011
$15.5M
TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JURRUS, ELIZABETH · 2012 to 2019
$9.7M
NCRR NIH HHS 5P41-RR012553-08NCRR NIH HHS P41 RR012553NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

Many simulation studies in biomedicine are based on a similar sequence of processing steps, starting from images and running through geometric model generation, assignment of tissue properties, numerical simulation and visualization of the results--a process known as image-based geometric modelling and simulation. We present an overview of software systems for implementing such a sequence both within highly integrated problem-solving environments and in the form of loosely integrated pipelines. Loose integration in this case indicates that individual programs function largely independently but communicate through files of a common format and support simple scripting, so as to automate multiple executions wherever possible. We then describe three specific applications of such pipelines to translational biomedical research in electrophysiology.

Indexed as

Computer SimulationElectrophysiologySoftwareDiagnostic Imaging

Identifiers

PMID19414456
PMCPMC2696107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.