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
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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, Ruchi R. Deshpande, Han Li, Han Li, Philip Requejo, Philip Requejo, Sarah McNitt-Gray, Sarah McNitt-Gray, Puja Ruparel, Puja Ruparel, Brent J. Liu, 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); doi: 10.1117/12.911076; https://doi.org/10.1117/12.911076
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