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

Ruchi R. Deshpande; Han Li; Philip Requejo; Sarah McNitt-Gray; Puja Ruparel; Brent J. Liu

doi:10.1117/12.911076

16 February 2012 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

Ruchi R. Deshpande, Han Li, Philip Requejo, Sarah McNitt-Gray, Puja Ruparel, Brent J. Liu

Author Affiliations +

Proceedings Volume 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 83190S (2012) https://doi.org/10.1117/12.911076
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

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.

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Ruchi R. Deshpande, Han Li, Philip Requejo, Sarah McNitt-Gray, Puja Ruparel, and Brent J. Liu "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", Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 83190S (16 February 2012); https://doi.org/10.1117/12.911076

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