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

Citation data:

2017 IEEE Symposium on 3D User Interfaces (3DUI), Page: 243-244

Publication Year:
Captures 8
Readers 8
Citations 1
Citation Indexes 1
Kyungyoon Kim; Rebekah L. Lawrence; Nikki Kyllonen; Paula M. Ludewig; Arin M. Ellingson; Daniel F. Keefe
Institute of Electrical and Electronics Engineers (IEEE)
Computer Science
conference paper description
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.