MeTaTop: A Multi-Sensory and Multi-User Interface for Collaborative Analysis of Medical Imaging Data

This work discusses the potentials of integrating TableTop systems into medical environments to support the clinical workflow. In particular, we investigate its application to collaboratively review patients’ data such as medical imaging data for diagnostics and the preparation and planning of surgical procedures. Usually, a team of clinicians dealing with a particular case reviews available patient data on a computer monitor. Browsing through stacks of slices reconstructed from volumetric imaging data is performed by only one person with classical interfaces such as keyboard or mouse. Other members of the team passively examine the presented imagery by looking over the main user’s shoulder. In order to enhance the collaborative aspect of analyzing patient data, we suggest providing every participant with the abilities to contribute more actively. For this reason, we designed and developed a multi-touch TableTop display system to support team oriented discussion and decision making upon intuitively, interactively and effectively presented patients’ data.     «

This work discusses the potentials of integrating TableTop systems into medical environments to support the clinical workflow. In particular, we investigate its application to collaboratively review patients’ data such as medical imaging data for diagnostics and the preparation and planning of surgical procedures. Usually, a team of clinicians dealing with a particular case reviews available patient data on a computer monitor. Browsing through stacks of slices reconstructed from volumetric imag...     »