Title :
Improving medical segmentation with haptic interaction
Author :
Harders, Matthias ; Széke, Gábor
Author_Institution :
Commun. Technol. Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
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
Keywords :
haptic interfaces; image segmentation; medical image processing; virtual reality; deformable surfaces; haptic interaction; interaction metaphor; interactive segmentation; medical 3D volume data; medical image segmentation; mouse; multi-modal system; sensory feedback; virtual reality; Biomedical imaging; Communications technology; Computed tomography; Computer vision; Data mining; Feedback; Haptic interfaces; Humans; Laboratories; Magnetic resonance imaging;
Conference_Titel :
Virtual Reality, 2002. Proceedings. IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7695-1492-8
DOI :
10.1109/VR.2002.996528
