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Multi-view Digital Image Correlation Systems for In Vitro Testing of Arteries from Mice to Humans
Experimental Mechanics ( IF 2.4 ) Pub Date : 2021-07-16 , DOI: 10.1007/s11340-021-00746-1
K Genovese 1 , P Badel 2 , C Cavinato 3 , B Pierrat 2 , M R Bersi 4 , S Avril 2 , J D Humphrey 3
Affiliation  

Background

Digital image correlation (DIC) methods are increasingly used for non-contact optical assessment of geometry and deformation in soft tissue biomechanics, thus providing the full-field strain estimates needed for robust inverse material characterization. Despite the well-known flexibility and ease of use of DIC, issues related to spatial resolution and depth-of-field remain challenging in studies of quasi-cylindrical biological samples such as arteries.

Objective

After demonstrating that standard surrounding multi-view DIC systems are inappropriate for such usage, we submit that both the optical setup and the data analysis need to be specifically designed with respect to the size of the arterial sample of interest. Accordingly, we propose novel and optimized DIC systems for two distinct ranges of arterial diameters: less than 2.5 mm (murine arteries) and greater than 10 mm (human arteries).

Methods

We designed, set up, and validated a four-camera panoramic-DIC system for testing murine arteries and a multi-biprism DIC system for testing human arteries. Both systems enable dynamic 360-deg measurements with refraction correction over the entire surface of submerged samples in their native geometries.

Results

Illustrative results for 3D shape and full-surface deformation fields were obtained for a mouse infrarenal aorta and a latex cylinder of size similar to the human infrarenal aorta.

Conclusion

Results demonstrated the feasibility and accuracy of both proposed methods in providing quantitative information on the regional behavior of arterial samples tested in vitro under physiologically relevant loading.



中文翻译:

用于体外测试从小鼠到人类的动脉的多视图数字图像相关系统

背景

数字图像相关 (DIC) 方法越来越多地用于对软组织生物力学中的几何形状和变形进行非接触式光学评估,从而提供稳健的逆材料表征所需的全场应变估计。尽管 DIC 具有众所周知的灵活性和易用性,但与空间分辨率和景深相关的问题在动脉等准圆柱形生物样本的研究中仍然具有挑战性。

客观的

在证明标准的多视图 DIC 系统不适合这种用途后,我们认为光学设置和数据分析都需要针对感兴趣的动脉样本的大小进行专门设计。因此,我们针对两种不同的动脉直径范围提出了新颖和优化的 DIC 系统:小于 2.5 毫米(鼠动脉)和大于 10 毫米(人体动脉)。

方法

我们设计、设置和验证了用于测试鼠动脉的四摄像头全景 DIC 系统和用于测试人体动脉的多双棱镜 DIC 系统。这两个系统都可以在其原始几何形状的浸没样品的整个表面上进行动态 360 度测量,并进行折射校正。

结果

对于小鼠肾下主动脉和大小与人肾下主动脉相似的乳胶圆柱体,获得了 3D 形状和全表面变形场的说明性结果。

结论

结果证明了这两种方法在提供有关在生理相关负荷下体外测试的动脉样本的区域行为的定量信息方面的可行性和准确性。

更新日期:2021-07-16
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