A Hybrid User Interface for Manipulation of Volumetric Medical Data

Authors:
Alexander Bornik;Reinhard Beichel;Ernst Kruijff;Bernhard Reitinger;Dieter Schmalstieg
Affiliations:
Graz University of Technology;Graz University of Technology;Graz University of Technology;Graz University of Technology;Graz University of Technology
Venue:
3DUI '06 Proceedings of the 3D User Interfaces
Year:
2006

Citing 0
Cited 9

Interactive editing of segmented volumetric datasets in a hybrid 2D/3D virtual environment

Proceedings of the ACM symposium on Virtual reality software and technology
Liver Surgery Planning Using Virtual Reality

IEEE Computer Graphics and Applications
2D meets 3D: a human-centered interface for visual data exploration

CHI '07 Extended Abstracts on Human Factors in Computing Systems
Designing a hybrid user interface: a case study on an oil and gas application

Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
Evaluation of 2D and 3D glove input applied to medical image analysis

International Journal of Human-Computer Studies
HIPerPaper: introducing pen and paper interfaces for ultra-scale wall displays

UIST '10 Adjunct proceedings of the 23nd annual ACM symposium on User interface software and technology
Exploring pen and paper interaction with high-resolution wall displays

UIST '10 Adjunct proceedings of the 23nd annual ACM symposium on User interface software and technology
Collaborative co-design of emerging multi-technologies for surgery

Journal of Biomedical Informatics
Dimensional congruence for interactive visual data mining and knowledge discovery

EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel system for interactive visualization and manipulation of medical datasets for surgery planning based on a hybrid VR / Tablet PC user interface. The goal of the system is to facilitate efficient visual inspection and correction of surface models generated by automated segmentation algorithms based on x-ray computed tomography scans, needed for planning surgical interventions. Factors like the quality of the visualization, nature of the dataset and interaction efficiency strongly influence system design decisions, in particular the design of the user interface, input devices and interaction techniques, leading to a hybrid setup. Finally, a user study is presented, which characterizes the system in terms of method efficiency and usability.