Share Email Print
cover

Proceedings Paper

Utilization of DICOM multi-frame objects for integrating kinetic and kinematic data with raw videos in movement analysis of wheel-chair users to minimize shoulder pain
Author(s): Ruchi R. Deshpande; Han Li; Philip Requejo; Sarah McNitt-Gray; Puja Ruparel; Brent J. Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Wheelchair users are at an increased risk of developing shoulder pain. The key to formulating correct wheelchair operating practices is to analyze the movement patterns of a sample set of subjects. Data collected for movement analysis includes videos and force/ motion readings. Our goal is to combine the kinetic/ kinematic data with the trial video by overlaying force vector graphics on the raw video. Furthermore, conversion of the video to a DICOM multiframe object annotated with the force vector could provide a standardized way of encoding and analyzing data across multiple studies and provide a useful tool for data mining.

Paper Details

Date Published: 16 February 2012
PDF: 6 pages
Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 83190S (16 February 2012); doi: 10.1117/12.911076
Show Author Affiliations
Ruchi R. Deshpande, The Univ. of Southern California (United States)
Han Li, The Univ. of Southern California (United States)
Philip Requejo, Rancho Los Amigos National Rehabilitation Ctr. (United States)
Sarah McNitt-Gray, The Univ. of Southern California (United States)
Puja Ruparel, Rancho Los Amigos National Rehabilitation Ctr. (United States)
Brent J. Liu, The Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 8319:
Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn; Brent J. Liu, Editor(s)

© SPIE. Terms of Use
Back to Top