Photogrammetry for use in biological surface acquisition: Investigation of use, geometric accuracy and consequence on analysis

S. P. Broderick, B. J. Doyle, E. G. Kavanagh, M. T. Walsh

Research output: Contribution to journalArticlepeer-review

Abstract

Medical imaging has advanced medical and scientific understanding of disease since its implementation. However, a wealth of information that may be beneficial for detailed surgical review, surgical-specific device design and retrospective case studies is not gathered. In this study, a single-camera photogrammetry method is proposed to investigate a feasible method of capturing exposed in vivo geometric data in an open surgical environment. To address current restrictions, the method must be rapid, cost-effective and not an impede surgical protocol performance. The tool is validated for geometry reconstruction fidelity against an anatomically complex model of known dimensions using three test criteria: geometry, structural simulation and fluid simulation. Each reconstruction was subject to three levels of smoothing to test solution sensitivity and feature erosion. The model was reconstructed three times to test variability of the reconstruction. All reconstructions were carried out using a freely available webservice. The models were geometrically accurate, with half of the model area below 1% error (0.5 mm) and 75–84% area below 2% error (1 mm). Finite element analysis and computational fluid dynamics simulations carried out found that over 84% and 90% of the model, for both the structural and fluid simulations, were within 10% of the control value, respectively. The results and conclusions reported illustrate the capability of using photogrammetry for geometric reconstruction and computational analysis of in vivo geometries.

Original languageEnglish
Pages (from-to)234-246
Number of pages13
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Volume1
Issue number4
DOIs
Publication statusPublished - 1 Jan 2013

Keywords

  • Photogrammetry
  • Reconstruction
  • Simulation
  • Surgery

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