Evidence map›Paper›PMID 40134773›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Noncontact optical 3D strain measurements in cervical soft tissues biomechanics by digital image correlation under tensile test: an experimental approach.

Fangzheng Lin, Yaoqian Cai, Jing Li, Jiheng Zhan, Zibo Gao, Xiaolong Zeng, Minshan Feng, Yongjin Li, Dingkun Lin, Ji Qi

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Fangzheng LinWangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Yaoqian CaiThe Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Jing LiWangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Jiheng ZhanThe Second Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Zibo GaoThe Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Xiaolong ZengThe Second Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Minshan FengWangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Yongjin LiThe Second Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Dingkun LinThe Second Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Ji QiThe Second Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital image correlation (DIC) is widely used to measure surface strain in loaded objects. When studying the deformation of the cervical spine, the complexity and non-planarity of the structure complicate the speckle pattern required for applying DIC. While this non-invasive technique has shown promise in biomechanical testing, its application to cervical spine analysis presents unique challenges, particularly in achieving dynamic full-scale multi-aspect strain measurements. The aim of this paper is to introduce a method for exploring the stress-strain relationship on cervical cadaveric specimen by optical non-contact measurement system. Method: Cervical cadaveric specimens were selected as subjects. Before testing, anatomical exposure, embedding, and spraying were performed sequentially. Specimen preparation was optimized through transverse process removal to enhance visualization of key anatomical structures. The surface strain under tensile testing was analyzed by the Aramis non-contact measurement system. Result: High-quality three-dimensional strain images were obtained with improved inspection points across all aspects, particularly in the lateral aspect (5397.25 ± 723.76 vs. 3268.25 ± 573.17, Conclusion: The application of an optical non-contact measurement system in this study of cervical spine biomechanics has been proven effective. This method potentially mitigates some of the limitations associated with previous DIC techniques when applied to cervical cadaveric specimens. As a result, it enables more available measurements of multidimensional strain, which may enhance our understanding of the mechanics of the cervical spine.

Indexed as

biomechanicscervical spinedigital correlation imagingin vitrotensile test

Identifiers

PMID40134773
PMCPMC11933103

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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.