| Literature DB >> 28994795 |
Timothy Rossman1, Susheil Uthamaraj1, Asghar Rezaei2, Sean McEligot1, Hugo Giambini3, Iwona Jasiuk4, Michael J Yaszemski3, Lichun Lu3, Dan Dragomir-Daescu5.
Abstract
This protocol describes the method using digital image correlation to estimate cortical strain from high speed video images of the cadaveric femoral surface obtained from mechanical testing. This optical method requires a texture of many contrasting fiduciary marks on a solid white background for accurate tracking of surface deformation as loading is applied to the specimen. Immediately prior to testing, the surface of interest in the camera view is painted with a water-based white primer and allowed to dry for several minutes. Then, a black paint is speckled carefully over the white background with special consideration for the even size and shape of the droplets. Illumination is carefully designed and set such that there is optimal contrast of these marks while minimizing reflections through the use of filters. Images were obtained through high speed video capture at up to 12,000 frames/s. The key images prior to and including the fracture event are extracted and deformations are estimated between successive frames in carefully sized interrogation windows over a specified region of interest. These deformations are then used to compute surface strain temporally during the fracture test. The strain data is very useful for identifying fracture initiation within the femur, and for eventual validation of proximal femur fracture strength models derived from Quantitative Computed Tomography-based Finite Element Analysis (QCT/FEA).Entities:
Mesh:
Year: 2017 PMID: 28994795 PMCID: PMC5752248 DOI: 10.3791/54942
Source DB: PubMed Journal: J Vis Exp ISSN: 1940-087X Impact factor: 1.355