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

doi:10.1109/3DUI.2017.7893362

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 proceeding › Conference contribution

9 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 language	English (US)
Title of host publication	2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	243-244
Number of pages	2
ISBN (Electronic)	9781509067169
DOIs	https://doi.org/10.1109/3DUI.2017.7893362
State	Published - Apr 5 2017
Event	2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Los Angeles, United States Duration: Mar 18 2017 → Mar 19 2017

Publication series

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

Other

Other	2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017
Country/Territory	United States
City	Los Angeles
Period	3/18/17 → 3/19/17

Bibliographical note

Funding Information:
This work was supported in part by grants from the NSF (IIS-1054783), NIH/NICHD (F31HD087069, K12HD073945), and Minnesota Partnership for Biotechnology and Medical Genomics (MNP IF #14.02).

Publisher Copyright:
© 2017 IEEE.

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). Article 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

Anatomical 2D/3D shape-matching in virtual reality: A user interface for quantifying joint kinematics with radiographic imaging. / Kim, Kyungyoon; Lawrence, Rebekah L.; Kyllonen, Nikki et al.
2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 243-244 7893362 (2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, K, Lawrence, RL, Kyllonen, N, Ludewig, PM , Ellingson, AM & Keefe, DF 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., 7893362, 2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 243-244, 2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017, Los Angeles, United States, 3/18/17. https://doi.org/10.1109/3DUI.2017.7893362

Kim K, Lawrence RL, Kyllonen N, Ludewig PM , Ellingson AM , Keefe DF. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 243-244. 7893362. (2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings). doi: 10.1109/3DUI.2017.7893362

Kim, Kyungyoon ; Lawrence, Rebekah L. ; Kyllonen, Nikki et al. / Anatomical 2D/3D shape-matching in virtual reality : A user interface for quantifying joint kinematics with radiographic imaging. 2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 243-244 (2017 IEEE Symposium on 3D User Interfaces, 3DUI 2017 - Proceedings).

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

Abstract

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Bibliographical note

Keywords

Access

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