Three Dimensional (3D) Lumbar Vertebrae Data Set. (31st August 2016)

• Record Type: Journal Article
• Authors: Bennani, H.; McCane, B.; Cornwall, J.
• Is Part Of: Data science journal. Volume 15(2016)
• Publication Date: 2016-08-31
• Subjects: 3D Modelling -- Biomedical -- Imaging -- Lumbar Vertebrae -- Spine; Science -- Data processing -- Periodicals; Database management -- Periodicals; 502.85
• DOI: 10.5334/dsj-2016-009
• Languages: English
• ISSNs: 1683-1470

Abstract

3D modelling can be used for a variety of purposes, including biomedical modelling for orthopaedic or anatomical applications. Low back pain is prevalent in society yet few validated 3D models of the lumbar spine exist to facilitate assessment. We therefore created a 3D surface data set for lumbar vertebrae from human vertebrae. Models from 86 lumbar vertebrae were constructed using an inexpensive method involving image capture by digital camera and reconstruction of 3D models via an image-based technique. The reconstruction method was validated using a laser-based arm scanner and measurements derived from real vertebrae using electronic callipers. Results show a mean relative error of 5.2% between image-based models and real vertebrae, a mean relative error of 4.7% between image-based and arm scanning models and 95% of vertices' errors are less than 3.5 millimetres with a median of 1.1 millimetres. The accuracy of the method indicates that the generated models could be useful for biomechanical modelling or 3D visualisation of the spine.