In medical imaging, augmented reality environments aim to provide the physician with enhanced perception of the patient either by fusing various imaging modalities or by presenting image-derived information overlaid on the physician's view, establishing a direct relation between the image and the patient. This workshop is intended to bring together researchers in computer science, electrical engineering, physics, and clinical medicine engaged in the development of augmented environments for image-guided interventions. The scientific program will focus on the dissemination of innovative research in image registration and fusion, calibration, visualization and 3D perception, hardware and optical design, real-time implementations, as well as validation, clinical applications and clinical evaluation. Multimodality visualization is specifically highlighted as a major theme that has led to state-of-the-art developments in this growing research area.


  • computer-assisted intervention systems and robotics
  • visualisation and interaction
  • general medical image computing

The objective will be to attract novel scientific contributions that offer solutions to the technical problems in these areas as well as papers describing complete systems and clinical applications. Potential clinical benefit will be a core subject and contributors will be expected to place their work in this context by describing necessary developments, research questions and any potential obstacles that must be overcome before clinical introduction of their technologies.

Accepted Papers & Final Program

Paper Awards

  • 1st place: Augmented Reality-Enhanced Endoscopic Images for Annuloplasty Ring Sizing, Sandy Engelhardt et al.
  • 2nd place: Instrument Tracking and Visualization for Ultrasound Catheter Guided Procedures, Laura J. Brattain et al.
  • 3rd place: Augmented Reality in Neurovascular Surgery: First Experiences, Marta Kersten-Oertel et al.

Edit | Attach | Refresh | Diffs | More | Revision r1.97 - 16 Sep 2014 - 21:49 - PascalFallavollita