TY - JOUR
T1 - Photogrammetry for use in biological surface acquisition
T2 - Investigation of use, geometric accuracy and consequence on analysis
AU - Broderick, S. P.
AU - Doyle, B. J.
AU - Kavanagh, E. G.
AU - Walsh, M. T.
PY - 2013/1/1
Y1 - 2013/1/1
N2 - 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.
AB - 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.
KW - Photogrammetry
KW - Reconstruction
KW - Simulation
KW - Surgery
UR - http://www.scopus.com/inward/record.url?scp=84981358666&partnerID=8YFLogxK
U2 - 10.1080/21681163.2013.805975
DO - 10.1080/21681163.2013.805975
M3 - Article
AN - SCOPUS:84981358666
SN - 2168-1163
VL - 1
SP - 234
EP - 246
JO - Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
JF - Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
IS - 4
ER -