2022-11-15T14:36:30 n17685

Predicting Spinal Column Profile from Surface Topography via 3D Non-Contact Surface Scanning - Participant data

Viewed: 51

This dataset contains participant data for the 50 participants involved in a study of spinal column profiles from surface topography via 3D non-contact surface scanning. 

Data includes Date of Birth, Age, BMI, BMI classification, and gender.  Coordinates of the spinous processes (from MRI), Vitamin D capsules overlaying the spinous processes (from MRI), and 3D surface scan markers overlaying the spinous processes are provided for each participant in lateral lying on a rigid substrate.

Geographical area of data collection

kmlPolyCoords
153.025220,-27.483706 153.028267,-27.483706 153.028267,-27.485343 153.025220,-27.485343 153.025220,-27.483706

Publications

Little, Paige, Rayward, Lionel, Pearcy, Mark, Izatt, Maree, Green, Daniel, Labrom, Robert, & Askin, Geoffrey (2019) Predicting spinal profile using 3D non-contact surface scanning: Changes in surface topography as a predictor of internal spinal alignment. PLoS One, 14(9), Article number: e02224531-15. https://eprints.qut.edu.au/133771/

Research areas

Spinal column
3D surface scanning
Magnetic Resonance Imaging

Cite this collection

Rayward, Lionel; Little, J. Paige; (2022): Predicting Spinal Column Profile from Surface Topography via 3D Non-Contact Surface Scanning - Participant data. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1665115151418

Data file types

Data files are in Microsoft Excel format (.xlsx).

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© Queensland University of Technology, 2022.

Dates of data collection

From 2017-09-27 to 2019-11-02

Connections

Has chief investigator
Paige Little  (Researcher)

Contacts

Name: Associate Professor J. Paige Little
Phone: +61 7 3069 7325

Other

Date record created:
2022-09-09T09:44:39
Date record modified:
2022-11-15T14:36:30
Record status:
Published - Open Access