Quantification of strain in a porcine model of skin expansion using multi-view stereo and isogeometric kinematics

Adrian Buganza Tepole*, Elbert E. Vaca, Chad A. Purnell, Michael Gart, Jennifer McGrath, Ellen Kuhl, Arun K. Gosain

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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.

Original languageEnglish (US)
Article numbere55052
JournalJournal of Visualized Experiments
Issue number122
StatePublished - Apr 16 2017


  • Bioengineering
  • Isogeometric analysis
  • Issue 122
  • Multi-view stereo
  • Porcine model
  • Skin
  • Spline
  • Tissue expansion

ASJC Scopus subject areas

  • Neuroscience(all)
  • Chemical Engineering(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)


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