A framework for volume segmentation and visualization using augmented reality

Takehiro Tawara, Kenji Ono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

We propose a two-handed direct manipulation system to achieve complex volume segmentation of CT/MRI data in Augmented Reality with a remote controller attached to a motion tracking cube. At the same time segmented data is displayed by direct volume rendering using a programmable GPU. Our system achieves visualization of real time modification of volume data with complex shading including transparency control by changing transfer functions, displaying any cross section, and rendering multi materials using a local illumination model. Our goal is to build a system that facilitates direct manipulation of volumetric CT/MRI data for segmentation in Augmented Reality. Volume segmentation is a challenging problem and segmented data has an important role for visualization and analysis.

Original languageEnglish
Title of host publication3DUI 2010 - IEEE Symposium on 3D User Interfaces 2010, Proceedings
Pages121-122
Number of pages2
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventIEEE Symposium on 3D User Interfaces 2010, 3DUI 2010 - Waltham, MA, United States
Duration: Mar 20 2010Mar 21 2010

Publication series

Name3DUI 2010 - IEEE Symposium on 3D User Interfaces 2010, Proceedings

Other

OtherIEEE Symposium on 3D User Interfaces 2010, 3DUI 2010
Country/TerritoryUnited States
CityWaltham, MA
Period3/20/103/21/10

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction

Fingerprint

Dive into the research topics of 'A framework for volume segmentation and visualization using augmented reality'. Together they form a unique fingerprint.

Cite this