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

ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25912/RDF_1665115151418&rft.title=Predicting Spinal Column Profile from Surface Topography via 3D Non-Contact Surface Scanning - Participant data&rft.identifier=10.25912/RDF_1665115151418&rft.publisher=Queensland University of Technology&rft.description=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. &rft.creator=Rayward, Lionel &rft.creator=Little, J. Paige &rft.date=2022&rft.edition=1&rft.relation=https://eprints.qut.edu.au/133771/&rft.coverage=153.025220,-27.483706 153.028267,-27.483706 153.028267,-27.485343 153.025220,-27.485343 153.025220,-27.483706&rft_rights=© Queensland University of Technology, 2022.&rft_rights=Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/4.0/&rft_subject=Magnetic Resonance Imaging&rft_subject=3D surface scanning&rft_subject=Spinal column&rft.type=dataset&rft.language=English Access the data