Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics.
Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics.
复制标题
使用多视图立体和等化运动学的猪膨胀猪膨胀模型定量应变。
DOI：
10.3791/55052
复制
发表时间：
2017-04-16
期刊：
影响因子：
--
通讯作者：
Gosain AK
中科院分区：
文献类型：
--
作者：
Buganza Tepole A;Vaca EE;Purnell CA;Gart M;McGrath J;Kuhl E;Gosain AK
组织扩张是一种流行的技术，在整形和重建手术，使皮肤在体内生长，以纠正大的缺陷，如烧伤和巨大的先天性痣。尽管它被广泛使用，但由于难以测量每个膨胀步骤和过程长度所施加的变形，因此规划和执行膨胀方案具有挑战性。量化变形场是至关重要的，因为拉伸随时间的分布决定了治疗结束时皮肤生长的速度和数量。在这篇文章中，我们提出了一种方法来研究组织膨胀，以获得在膨胀过程中引起的变形的定量知识。该实验方案结合了猪组织扩张模型的多视角立体和等几何运动学分析。多视图立体允许从未校准的图像序列三维几何重建。等距运动分析采用样条曲线来描述网格点较少的光滑曲面之间的区域变形。我们的方案有可能弥合关于皮肤扩张机制的基础科学研究与临床环境之间的差距。最终，我们期望通过我们的方法获得的知识将以个性化的方式使用皮肤变形的计算模拟来实现治疗计划。
Tissue expansion is a popular technique in plastic and reconstructive surgery that grows skin in vivo for correction of large defects such as burns and giant congenital nevi. Despite its widespread use, planning and executing an expansion protocol is challenging due to the difficulty in measuring the deformation imposed at each inflation step and over the length of the procedure. Quantifying the deformation fields is crucial, as the distribution of stretch over time determines the rate and amount of skin grown at the end of the treatment. In this manuscript, we present a method to study tissue expansion in order to gain quantitative knowledge of the deformations induced during an expansion process. This experimental protocol incorporates multi-view stereo and isogeometric kinematic analysis in a porcine model of tissue expansion. Multi-view stereo allows three-dimensional geometric reconstruction from uncalibrated sequences of images. The isogeometric kinematic analysis uses splines to describe the regional deformations between smooth surfaces with few mesh points. Our protocol has the potential to bridge the gap between basic scientific inquiry regarding the mechanics of skin expansion and the clinical setting. Eventually, we expect that the knowledge gained with our methodology will enable treatment planning using computational simulations of skin deformation in a personalized manner.
登录
查看更多内容
影响因子：
2.7
作者：
Khalatbari, Behzad;Bakhshaeekia, Alireza
通讯作者：
Bakhshaeekia, Alireza
DOI：
10.1016/j.cma.2009.08.013
发表时间：
2009-01-01
影响因子：
7.2
作者：
Kiendl, J.;Bletzinger, K-U.;Wuechner, R.
通讯作者：
Wuechner, R.
DOI：
10.1016/j.jmbbm.2011.08.016
发表时间：
2012-01-01
影响因子：
3.9
作者：
Annaidh, Aisling Ni;Bruyere, Karine;Ottenio, Melanie
通讯作者：
Ottenio, Melanie
影响因子：
1.5
作者：
Patel, Parit A.;Elhadi, Haithem M.;Yakuboff, Kevin P.
通讯作者：
Yakuboff, Kevin P.
影响因子：
2.3
作者：
Rivera, R;LoGiudice, J;Gosain, AK
通讯作者：
Gosain, AK