Smooth Muscle Organization and Nerves in the Rat Vagina: A First Look Using Tissue Clearing and Immunolabeling

Huntington, Alyssa; Udayasuryan, Barath; Du, Pang; Verbridge, Scott S.; Abramowitch, Steven D.; Vita, R. De

doi:10.1007/s10439-022-02928-x

Cited by 6 publications

(1 citation statement)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Together with a realistic geometry, boundary and loading conditions, a new constitutive law that accounts for the experimentally measured statistical distributions of collagen fibers 32 and smooth muscle fibers 44 should be developed for the rat vagina. The specific form of the Holzapfel‐Gasser‐Ogden constitutive model used in this study does not consider the exact distributions of such fibers in the rat vagina.…”

Section: Discussionmentioning

confidence: 99%

Data‐driven variational multiscale reduced order modeling of vaginal tissue inflation

Snyder

McGuire

Mou

et al. 2022

Numer Methods Biomed Eng

View full text Add to dashboard Cite

The vagina undergoes large finite deformations and has complex geometry and microstructure, resulting in material and geometric nonlinearities, complicated boundary conditions, and nonhomogeneities within finite element (FE) simulations. These nonlinearities pose a significant challenge for numerical solvers, increasing the computational time by several orders of magnitude.Simplifying assumptions can reduce the computational time significantly, but this usually comes at the expense of simulation accuracy. This study proposed the use of reduced order modeling (ROM) techniques to capture experimentally measured displacement fields of rat vaginal tissue during inflation testing in order to attain both the accuracy of higher-fidelity models and the speed of simpler simulations. The proper orthogonal decomposition (POD) method was used to extract the significant information from FE simulations generated by varying the luminal pressure and the parameters that introduce the anisotropy in the selected constitutive model. A new data-driven (DD) variational multiscale (VMS) ROM framework was extended to obtain the displacement fields of rat vaginal tissue under pressure. For comparison purposes, we also investigated the classical Galerkin ROM (G-ROM). In our numerical study, both the G-ROM and the DD-VMS-ROM decreased the FE computational cost by orders of magnitude without a significant decrease in numerical accuracy. Furthermore, the DD-VMS-ROM improved the G-ROM accuracy at a modest computational overhead. Our numerical investigation showed that ROM has the potential to provide efficient and accurate computational tools to describe vaginal deformations, with the ultimate goal of improving maternal health.

show abstract

Section: Discussionmentioning

confidence: 99%