Abstract
The intent of medical Augmented Reality (AR) is to augment the surgeon’s real view on the patient with the patient’s interior anatomy resulting from a suitable visualization of medical imaging data. This paper presents a fast and user-defined clipping technique for medical AR allowing for cutting away any parts of the virtual anatomy and images of the real part of the AR scene hindering the surgeon’s view onto the deepseated region of interest. Modeled on cut-away techniques from scientific illustrations and computer graphics, the method creates a fixed vision channel to the inside of the patient. It enables a clear view on the focussed virtual anatomy and moreover improves the perception of spatial depth.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cleary K, Chung HY, Mun SK. OR 2020: The operating room of the future. Laparoendosc Adv Surg Tech. 2005;15(5):495–500.
Peters TM. Image-guidance for surgical procedures. Phys Med Biol. 2006;51(14):R505–R540.
Sauer F, Khamene A, Bascle B, et al. Augmented reality visualization in iMRI operating room: System description and pre-clinical testing. Proc SPIE. 2002;4681:446–54.
Furmanski C, Azuma R, Daily M. Augmented-reality visualizations guided by cognition: Perceptual heuristics for combining visible and obscured information. In: Proc. IEEE and ACM Int’l Symp. on Mixed and Augmented Reality (ISMAR). Washington, DC, USA: IEEE Computer Society; 2002. p. 215.
Sielhorst T, Bichlmeier C, Heining S, et al. Depth perception a major issue in medical AR: Evaluation study by twenty surgeons. Lect Notes Computer Sci. 2006; p. 364–72.
Bajura M, Fuchs H, Ohbuchi R. Merging virtual objects with the real world: Seeing ultrasound imagery within the patient. Proc SIGGRAPH. 1992; p. 203–10.
Feiner S, Seligmann DD. Cutaways and ghosting: Satisfying visibility constraints in dynamic 3D illustrations. Vis Comp. 1992;8(5&6):292–02.
Diepstraten J, Weiskopf D, Ertl T. Interactive cutaway illustrations. Comp Graph Forum. 2003;22(3):523–32.
Weiskopf D, Engel K, Ertl T. Volume clipping via per-fragment operations in texture-based volume visualization. In: Proc IEEE Vis. Washington, DC, USA: IEEE Computer Society; 2002. p. 93–100.
Bichlmeier C, Wimmer FJ, Heining SM, et al. Contextual anatomic mimesis: Hybrid in-situ visualization method for improving multi-sensory depth perception in medical augmented reality. In: Proc. IEEE and ACM Int’l Symp. on Mixed and Augmented Reality (ISMAR); 2007. p. 129–38.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wimmer, F., Bichlmeier, C., Heining, S.M., Navab, N. (2008). Creating a Vision Channel for Observing Deep-Seated Anatomy in Medical Augmented Reality. In: Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2008. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78640-5_60
Download citation
DOI: https://doi.org/10.1007/978-3-540-78640-5_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78639-9
Online ISBN: 978-3-540-78640-5
eBook Packages: Computer Science and Engineering (German Language)