Three Dimensional (3D) Lumbar Vertebrae Data Set. (31st August 2016)
- Record Type:
- Journal Article
- Title:
- Three Dimensional (3D) Lumbar Vertebrae Data Set. (31st August 2016)
- Main Title:
- Three Dimensional (3D) Lumbar Vertebrae Data Set
- Authors:
- Bennani, H.
McCane, B.
Cornwall, J. - 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.
- Is Part Of:
- Data science journal. Volume 15(2016)
- Journal:
- Data science journal
- Issue:
- Volume 15(2016)
- Issue Display:
- Volume 15, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 15
- Issue:
- 2016
- Issue Sort Value:
- 2016-0015-2016-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-08-31
- Subjects:
- 3D Modelling -- Biomedical -- Imaging -- Lumbar Vertebrae -- Spine
Science -- Data processing -- Periodicals
Database management -- Periodicals
502.85 - Journal URLs:
- http://datascience.codata.org/ ↗
http://www.codata.org/dsj/index.html ↗ - DOI:
- 10.5334/dsj-2016-009 ↗
- Languages:
- English
- ISSNs:
- 1683-1470
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14677.xml