Evidence map›Paper›PMID 37168239›Full record

ArticleFinite elements in analysis and design : the international journal of applied finite elements and computer aided engineering2023

A Brief Note on Building Augmented Reality Models for Scientific Visualization.

Mrudang Mathur, Josef M Brozovich, Manuel K Rausch

Abstract read
In one paragraph

Article in Finite elements in analysis and design : the international journal of applied finite elements and computer aided engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Mrudang MathurUniversity of Texas at Austin, Department of Mechanical Engineering, 204 E Dean Keeton Street, Austin, 78712, TX, United States of America.
Josef M BrozovichUniversity of Texas at Austin, Department of Aerospace Engineering and Engineering Mechanics, 2617 Wichita Street, Austin, 78712, TX, United States of America.
Manuel K RauschUniversity of Texas at Austin, Department of Aerospace Engineering and Engineering Mechanics, 2617 Wichita Street, Austin, 78712, TX, United States of America.

Funding

Using an Electrospun Surrogate Model to Investigate Mechanisms of Tricuspid Valve MaladaptationR01HL165251 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI MANUEL Karl RAUSCH · 2022 to 2026
$4.3M
Human-Specific Prediction, Training, and Visualization Tools for the Tricuspid Valve from Existing DataR21HL161832 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI RAUSCH, MANUEL KARL · 2022 to 2023
$222k
NHLBI NIH HHS R01 HL165251NHLBI NIH HHS R21 HL161832
6 · The paper itself

Abstract

Augmented reality (AR) has revolutionized the video game industry by providing interactive, three-dimensional visualization. Interestingly, AR technology has only been sparsely used in scientific visualization. This is, at least in part, due to the significant technical challenges previously associated with creating and accessing such models. To ease access to AR for the scientific community, we introduce a novel visualization pipeline with which they can create and render AR models. We demonstrate our pipeline by means of finite element results, but note that our pipeline is generally applicable to data that may be represented through meshed surfaces. Specifically, we use two open-source software packages, ParaView and Blender. The models are then rendered through the <model-viewer> platform, which we access through Android and iOS smartphones. To demonstrate our pipeline, we build AR models from static and time-series results of finite element simulations discretized with continuum, shell, and beam elements. Moreover, we openly provide python scripts to automate this process. Thus, others may use our framework to create and render AR models for their own research and teaching activities.

Indexed as

digital twinfinite elementsmetaversemixed realityvirtual reality

Identifiers

PMID37168239
PMCPMC10168105

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.