skip to main content
10.1145/1666778.1666811acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
research-article

Direct 3D manipulation for volume segmentation using mixed reality

Published:16 December 2009Publication History

ABSTRACT

We propose a novel two-handed direct manipulation system to achieve complex volume segmentation of CT/MRI data in the real 3D space with a remote controller attached 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 shadings including transparency control by changing transfer functions, displaying any cross section and rendering multi materials using a local illumination model.

Skip Supplemental Material Section

Supplemental Material

References

  1. Artoolkit http://www.hitl.washington.edu/artoolkit/.Google ScholarGoogle Scholar
  2. Sethian, J. A. 1999. Level Set Methods and Fast Marching Methods. Cambridge University Press.Google ScholarGoogle Scholar

Index Terms

  1. Direct 3D manipulation for volume segmentation using mixed reality

              Recommendations

              Comments

              Login options

              Check if you have access through your login credentials or your institution to get full access on this article.

              Sign in
              • Published in

                cover image ACM Conferences
                SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Posters
                December 2009
                58 pages
                ISBN:9781450379342
                DOI:10.1145/1666778

                Copyright © 2009 ACM

                Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

                Publisher

                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 16 December 2009

                Permissions

                Request permissions about this article.

                Request Permissions

                Check for updates

                Qualifiers

                • research-article

                Acceptance Rates

                Overall Acceptance Rate178of869submissions,20%
              • Article Metrics

                • Downloads (Last 12 months)1
                • Downloads (Last 6 weeks)0

                Other Metrics

              PDF Format

              View or Download as a PDF file.

              PDF

              eReader

              View online with eReader.

              eReader