Improving Medical Segmentation with Haptic Interaction

  • Authors:
  • Matthias Harders;Gabor Szekely

  • Affiliations:
  • -;-

  • Venue:
  • VR '02 Proceedings of the IEEE Virtual Reality Conference 2002
  • Year:
  • 2002

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Abstract

We present a new virtual reality-based interaction metaphor for semi-automatic segmentation of medical 3D volume data. The mouse-based, manual initialization of deformable surfaces in 3D represents a major bottleneck in interactive segmentation. In our multi-modal system we enhance this process with additional sensory feedback. A 3D haptic device is used to extract the centerline of a tubular structure. Based on the obtained path a cylinder with varying diameter is generated which in turn is used as the initial guess for a deformable surface.