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3D multiscale visualisation for medical datasets

  • Nigel McFarlane
    ,
  • Gordon Clapworthy
    ,
  • Anupam Agrawal
    ,
  • Marco Viceconti
    ,
  • Fulvia Taddei
    ,
  • E. Schileo
  • University of Bedfordshire
    ,
  • IRCCS Istituto Ortopedico Rizzoli - Bologna
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Abstract

A 3D multiscale view has been developed for medical datasets that are composed of multiple images of very different spatial sizes. The example data consisted of 3 volume images of bone: a 400 mm femur; a 20 mm micro-CT image of trabeculae; and a 0.5 mm nano-CT image of a single trabecula. The images were nested, the nano-CT being inside the micro-CT, which was within the head of the femur. The images were visualised using a volume slice view. The dataset was multiscale in that each image could not be usefully resolved at the scale of the next larger image. The multiscale interaction within the system is based on the replacement of sub-scale images by small click-and-zoom tokens. Issues relating to interaction with the tokens are discussed and early outcomes from this form representation are described.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 03/09/2008

Publication status

Published - 03/09/2008

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication IDs

  • handle.net: 10547/228094
  • Scopus: 57849111914

Host publication title

2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics

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