A computer-based simulation of childbirth using the partial Dirichlet-Neumann contact method with total Lagrangian explicit dynamics on the GPU.


Journal

Biomechanics and modeling in mechanobiology
ISSN: 1617-7940
Titre abrégé: Biomech Model Mechanobiol
Pays: Germany
ID NLM: 101135325

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 05 07 2018
accepted: 15 12 2018
pubmed: 13 1 2019
medline: 29 8 2019
entrez: 13 1 2019
Statut: ppublish

Résumé

During physiological or 'natural' childbirth, the fetal head follows a distinct motion pattern-often referred to as the cardinal movements or 'mechanisms' of childbirth-due to the biomechanical interaction between the fetus and maternal pelvic anatomy. The research presented in this paper introduces a virtual reality-based simulation of physiological childbirth. The underpinning science is based on two numerical algorithms including the total Lagrangian explicit dynamics method to calculate soft tissue deformation and the partial Dirichlet-Neumann contact method to calculate the mechanical contact interaction between the fetal head and maternal pelvic anatomy. The paper describes the underlying mathematics and algorithms of the solution and their combination into a computer-based implementation. The experimental section covers first a number of validation experiments on simple contact mechanical problems which is followed by the main experiment of running a virtual reality childbirth. Realistic mesh models of the fetus, bony pelvis and pelvic floor muscles were subjected to the intra-uterine expulsion forces which aim to propel the virtual fetus through the virtual birth canal. Following a series of simulations, taking variations in the shape and size of the geometric models into account, we consistently observed the cardinal movements in the simulator just as they happen in physiological childbirth. The results confirm the potential of the simulator as a predictive tool for problematic childbirths subject to patient-specific adaptations.

Identifiants

pubmed: 30635852
doi: 10.1007/s10237-018-01109-x
pii: 10.1007/s10237-018-01109-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

681-700

Subventions

Organisme : National Institute for Health Research
ID : HTD-515

Auteurs

Rudy Lapeer (R)

School of Computing Sciences, University of East Anglia, Norwich, UK. r.lapeer@uea.ac.uk.

Zelimkhan Gerikhanov (Z)

School of Computing Sciences, University of East Anglia, Norwich, UK.

Said-Magomed Sadulaev (SM)

School of Computing Sciences, University of East Anglia, Norwich, UK.

Vilius Audinis (V)

School of Computing Sciences, University of East Anglia, Norwich, UK.

Roger Rowland (R)

School of Computing Sciences, University of East Anglia, Norwich, UK.

Kenda Crozier (K)

School of Health Sciences, University of East Anglia, Norwich, UK.

Edward Morris (E)

Department of Obstetrics and Gynaecology, Norfolk and Norwich University Hospital NHS Trust, Norwich, UK.

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Classifications MeSH