1. Proceedings
  2. I3M
  3. 2019
  4. IWISH
  5. 10.46354/i3m.2019.iwish.002

Evaluating kinect V1 and V2 for chest wall surface scanning and assessment

  • a Nahom Kidane  , 
  • b Mohammad F. Obeid  , 
  • c Cierra Hall  , 
  • d Ntiana Sakiot  , 
  • e Robert E. Kelly  , 
  • f Frederic D. McKenzie  
  • a,c,d,f Dept. of Computational Modeling and Simulation Engineering, Old Dominion University Norfolk, USA
  • b Division of Applied Technology, Shenandoah University, Winchester, USA
  • e Pediatric Surgery, Children's Hospital of The King's Daughters and Eastern Virginia Medical School, Norfolk, USA
Cite as
Kidane N., Obeid M. F., Hall C., Sakioti N., Kelly R. E., McKenzie F. D. (2019). Evaluating kinect V1 and V2 for chest wall surface scanning and assessment. Proceedings of the 8th International Workshop on Innovative Simulation for Healthcare (IWISH 2019), pp. 7-14. DOI: https://doi.org/10.46354/i3m.2019.iwish.002

Abstract

Optical scanning has proven to be advantageous to objectively assess the severity of chest wall deformities and the effectiveness of its treatment. By potentially eliminating the need for computed tomography (CT) scanning and superseding manual measurements that are subject to errors, a system that utilizes optical scanning presents great value to patients and practitioners. This work aims to investigate and evaluate the performance of two off-the-shelf optical scanning sensors in the context of their utility and accuracy to measure the severity of chest wall deformities. An in-vitro experiment and a human study are conducted utilizing both sensors to collect data and report the findings.

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