title: A blending technique for enhanced depth perception in medical x-ray vision applications.
abstract: Depth perception is a common problem for x-ray vision in augmented reality applications since the goal is to visualize occluded and embedded objects. In this paper we present an x-ray vision blending method for neurosurgical applications that intensifies the interposition depth cue in order to achieve enhanced depth perception. The proposed technique emphasizes important structures, which provides the user with an improved depth context.
authors: Center for Medical Image Science and Visualization, Linköpings universitet, Linköping, Sweden. frida.hernell@cmiv.liu.se
authors: Frida
authors: F
authors: Hernell
authors: Anders
authors: A
authors: Ynnerman
authors: Orjan
authors: O
authors: Smedby
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003867:Depth Perception; D008279:Magnetic Resonance Imaging; D009493:Neurosurgery; D013548:Sweden; D014965:X-Rays