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Volume Visualization for Neurovascular Augmented Reality Surgery

  • Marta Kersten-Oertel
  • Simon Drouin
  • Sean J. S. Chen
  • D. Louis Collins
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8090)

Abstract

In neurovascular image-guided surgery, surgeons use pre-operative vascular data sets (from angiography) to guide them. They map information from angiography images onto the patient on the operating room table to localize important vessels. This spatial mapping is complex, time consuming and prone to error. We’ve developed an augmented reality (AR) system to visualize the pre-operative vascular data within the context of a microscope/camera image. Such an AR visualization enhances the surgeon’s field of view with data that is not otherwise readily available (e.g., anatomical data beyond the visible surface or data about the flow of blood through the vessels), and it aids the surgeon to better understand the topology and locations of vessels that lie below the visible surface of the cortex. In this paper, we explore a number of different volume rendering methods for AR visualization of vessel topology and blood flow.

Keywords

Augmented Reality Camera Image Virtual Object Mixed Reality Augmented Reality System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marta Kersten-Oertel
    • 1
  • Simon Drouin
    • 1
  • Sean J. S. Chen
    • 1
  • D. Louis Collins
    • 1
  1. 1.McConnell Brain Imaging Center, MNIMcGill UniversityMontrealCanada

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