Abstract
We introduce the DVV taxonomy (Data, Visualization processing, View) which defines each of the major components of a mixed reality image-guided surgery (IGS) system. We propose that these components should be considered and in turn validated for acceptance of a system into the operating room. A taxonomy of IGS visualization systems is a step towards developing a common language that will help developers and end-users discuss and understand the constituents of a visualization system. We demonstrate the usefulness of the taxonomy by classifying fifteen state-of-the-art research papers in the domain of mixed reality visualization IGS systems.
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Kersten-Oertel, M., Jannin, P., Collins, D.L. (2010). DVV: Towards a Taxonomy for Mixed Reality Visualization in Image Guided Surgery. In: Liao, H., Edwards, P.J."., Pan, X., Fan, Y., Yang, GZ. (eds) Medical Imaging and Augmented Reality. MIAR 2010. Lecture Notes in Computer Science, vol 6326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15699-1_35
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DOI: https://doi.org/10.1007/978-3-642-15699-1_35
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