Poster: Anatomical 2D/3D Shape-Matching in Virtual Reality: A User Interface for Quantifying Joint Kinematics with Radiographic Imaging
Poster: 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. IEEE Symposium on 3D User Interfaces (2017)
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.
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