Evidence map›Paper›PMID 40880731›Full record

ArticleProceedings. International Conference on Image Processing2025

A PHYSICS-GUIDED SMOOTHING METHOD FOR MATERIAL MODELING WITH DIGITAL IMAGE CORRELATION (DIC) MEASUREMENTS.

Jihong Wang, Chung-Hao Lee, William Richardson, Yue Yu

Abstract read
In one paragraph

Article in Proceedings. International Conference on Image Processing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jihong WangDepartment of Mathematics, Lehigh University, Bethlehem, PA, USA.
Chung-Hao LeeDepartment of Bioengineering, University of California, Riverside, CA, USA.
William RichardsonDepartment of Chemical Engineering, University of Arkansas, Fayetteville, AR, USA.
Yue YuDepartment of Mathematics, Lehigh University, Bethlehem, PA, USA.

Funding

Integrate Data-Driven Modeling and Multi-scale Measures Towards Tissue FunctionR01GM157589 · NIGMS · LEHIGH UNIVERSITY · PI YUE YU · 2024 to 2026
$890k
NIGMS NIH HHS R01 GM157589
6 · The paper itself

Abstract

In this work, we present a novel approach to process the DIC measurements of multiple biaxial stretching protocols. In particular, we develop a optimization-based approach, which calculates the smoothed nodal displacements using a moving least-squares algorithm subject to positive strain constraints. As such, physically consistent displacement and strain fields are obtained. Then, we further deploy a data-driven workflow to heterogeneous material modeling from these physically consistent DIC measurements, by estimating a nonlocal constitutive law together with the material microstructure. To demonstrate the applicability of our approach, we apply it in learning a material model and fiber orientation field from DIC measurements of a porcine tricuspid valve anterior leaflet. Our results demonstrate that the proposed DIC data processing approach can significantly improve the accuracy of modeling biological materials.

Indexed as

DIC measurementMaterial modelingPhysics-guided smoothingReproducing kernel

Identifiers

PMID40880731
PMCPMC12381652

What OpenQuestion holds

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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.