DVV Taxonomy and the State of the Art in Mixed Reality Visualization for Image-Guided Surgery

Note this page is currently under construction.

DVV Taxonomy

We introduce the Data, Visualization processing, View (DVV) taxonomy which defines each of the major components required to implement a mixed reality IGS system. We propose that these components be considered and used as validation criteria for introducing a mixed reality IGS system into the OR. A taxonomy of IGS visualization systems is a step toward developing a common language that will help developers and end users discuss and understand the constituents of a mixed reality visualization system, facilitating a greater presence of future systems in the OR.

Publications

Marta Kersten-Oertel, Pierre Jannin, D. Louis Collins, ”DVV: A Taxonomy for Mixed Reality Visualization in Image Guided Surgery”. IEEE Transactions on Visualization and Computer Graphics, 18(2), 332–352, Feb. 2012

State of the Art

We used the DVV (Data, Visualization processing, View) taxonomy to classify a large unbiased selection of publications in the field. The goal of this work was not only to give an overview of current visualization methods and techniques in IGS but more importantly to analyze the current trends and solutions used in the domain.

(For IEEE reviewers) The table here gives the classification of the papers using the DVV taxonomy.