Anatomical 2D/3D shape-matching in virtual reality: A user interface for quantifying joint kinematics with radiographic imaging

Kyungyoon Kim, Rebekah L. Lawrence, Nikki Kyllonen, Paula M Ludewig, Arin M Ellingson, Daniel F Keefe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We introduce a virtual reality 3D user interface (3DUI) for anatomical 2D/3D shape-matching, a challenging task that is part of medical imaging processes required by biomechanics researchers. Manual shape-matching can be thought of as a nuanced version of classic 6 degree-of-freedom docking tasks studied in the 3DUI research community. Our solution combines dynamic gain for precise translation and rotation from 6 degree-of-freedom tracker input, constraints based on both 2D and 3D data, and immersive visualization and visual feedback.

Original languageEnglish (US)
Title of host publication2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages243-244
Number of pages2
ISBN (Electronic)9781509067169
DOIs
StatePublished - Apr 5 2017
Event2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Los Angeles, United States
Duration: Mar 18 2017Mar 19 2017

Publication series

Name2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings

Other

Other2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017
CountryUnited States
CityLos Angeles
Period3/18/173/19/17

Keywords

  • I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism - Virtual reality

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    Kim, K., Lawrence, R. L., Kyllonen, N., Ludewig, P. M., Ellingson, A. M., & Keefe, D. F. (2017). Anatomical 2D/3D shape-matching in virtual reality: A user interface for quantifying joint kinematics with radiographic imaging. In 2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings (pp. 243-244). [7893362] (2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/3DUI.2017.7893362