Your browser doesn't support javascript.
loading
Accuracy and repeatability of 3D Photogrammetry to digitally reconstruct bones.
Feddema, J C; Chiu, L Z F.
Affiliation
  • Feddema JC; Neuromusculoskeletal Mechanics Research Program, Faculty of Kinesiology, Sport, and Recreation, University of Alberta, T6G 2H9 Edmonton, AB, Canada.
  • Chiu LZF; Neuromusculoskeletal Mechanics Research Program, Faculty of Kinesiology, Sport, and Recreation, University of Alberta, T6G 2H9 Edmonton, AB, Canada. Electronic address: Loren.Chiu@ualberta.ca.
Morphologie ; 108(363): 100793, 2024 Jul 03.
Article in En | MEDLINE | ID: mdl-38964273
ABSTRACT
Advances in computer hardware and software permit the reconstruction of physical objects digitally from digital camera images. Given the varying shapes and sizes of human bones, a comprehensive assessment is required to establish the accuracy of digital bone reconstructions from three-dimensional (3D) photogrammetry. Five human bones (femur, radius, scapula, vertebra, patella) were marked with pencil, to establish between 9 and 29 landmarks. The distances between landmarks were measured from the physical bones and digitized from 3D reconstructions. Images used for reconstructions were taken on two separate days, allowing for repeatability to be established. In comparison to physical measurements, the mean (±standard deviation) absolute differences were between 0.2±0.1mm and 0.4±0.2mm. The mean (±standard deviation) absolute differences between reconstructions were between 0.3±<0.1mm and 0.4±0.4mm. The 3D photogrammetry procedures described are accurate and repeatable, permitting quantitative analyses to be conducted from digital reconstructions. Moreover, 3D photogrammetry may be used to capture and preserve anatomical materials for anatomy education.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Morphologie Journal subject: ANATOMIA Year: 2024 Document type: Article Affiliation country: Canada Country of publication: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Morphologie Journal subject: ANATOMIA Year: 2024 Document type: Article Affiliation country: Canada Country of publication: France