Using deformations for browsing volumetric data

Many traditional techniques for "looking inside" volumetric data involve removing portions of the data, for example using various cutting tools, to reveal the interior. This allows the user to see hidden parts of the data, but has the disadvantage of removing potentially important surrounding contextual information. We explore an alternate strategy for browsing that uses deformations, where the user can cut into and open up, spread apart, or peel away parts of the volume in real time, making the interior visible while still retaining surrounding context. We consider various deformation strategies and present a number of interaction techniques based on different metaphors. Our designs pay special attention to the semantic layers that might compose a volume (e.g. the skin, muscle, bone in a scan of a human). Users can apply deformations to only selected layers, or apply a given deformation to a different degree to each layer, making browsing more flexible and facilitating the visualization of relationships between layers. Our interaction techniques are controlled with direct, "in place" manipulation, using pop-up menus and 3D widgets, to avoid the divided attention and awkwardness that would come with panels of traditional widgets. Initial user feedback indicates that our techniques are valuable, especially for showing portions of the data spatially situated in context with surrounding data.

[1]  Kevin Montgomery,et al.  Generalized interactions using virtual tools within the spring framework: cutting. , 2002, Studies in health technology and informatics.

[2]  Anne M. R. Agur,et al.  Grant's Atlas of Anatomy, 10th Edition , 1999 .

[3]  Roni Yagel,et al.  Interactive Space Deformation with Hardware-Assisted Rendering , 1997, IEEE Computer Graphics and Applications.

[4]  M. Sheelagh T. Carpendale,et al.  Extending Distortion Viewing from 2D to 3D , 1997, IEEE Computer Graphics and Applications.

[5]  Anne M.R. Agur,et al.  Grant's Atlas of Anatomy , 1943 .

[6]  William Buxton,et al.  Interaction techniques for 3D modeling on large displays , 2001, I3D '01.

[7]  Dennis Proffitt,et al.  Two-handed virtual manipulation , 1998, TCHI.

[8]  David D. Woods,et al.  Visual Momentum: A Concept to Improve the Cognitive Coupling of Person and Computer , 1984, Int. J. Man Mach. Stud..

[9]  Jock D. Mackinlay,et al.  Cone Trees: animated 3D visualizations of hierarchical information , 1991, CHI.

[10]  Bernd Hamann,et al.  A magnification lens for interactive volume visualization , 2001, Proceedings Ninth Pacific Conference on Computer Graphics and Applications. Pacific Graphics 2001.

[11]  Lyn Bartram,et al.  Can motion increase user interface bandwidth in complex systems? , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[12]  John Viega,et al.  3D magic lenses , 1996, UIST '96.

[13]  Günther Greiner,et al.  Fast volumetric deformation on general purpose hardware , 2001, HWWS '01.

[14]  William Buxton,et al.  The limits of expert performance using hierarchic marking menus , 1993, INTERCHI.

[15]  Karl Heinz Höhne,et al.  A volume-based anatomical atlas , 1992, IEEE Computer Graphics and Applications.

[16]  Daniel C. Robbins,et al.  Three-dimensional widgets , 1992, I3D '92.

[17]  Karl Heinz Höhne,et al.  Towards Realistic Visualization for Surgery Rehearsal , 1995, CVRMed.

[18]  David H. Laidlaw,et al.  Geometric model extraction from magnetic resonance volume data , 1996 .

[19]  M. Sheelagh T. Carpendale,et al.  Tardis: a visual exploration environment for landscape dynamics , 1999, Electronic Imaging.

[20]  Michel Beaudouin-Lafon,et al.  Novel interaction techniques for overlapping windows , 2001, UIST '01.

[21]  Richard Mander,et al.  A “pile” metaphor for supporting casual organization of information , 1992, CHI.