Next generation MCAT: A realistic spline-based torso phantom

W. Paul Segars, David S. Lalush, Benjamin M.W. Tsui

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

1 Scopus citations

Abstract

We develop a realistic computerized torso phantom for use in medical imaging research. The phantom has the potential to model anatomical variations and patient motion more realistically than phantoms based on simple geometric primitives. Structures are defined using nonuniform rational B-spline (NURBS) surfaces, as used in 3D computer graphics. By fitting NURBS to patient data, the phantom is more realistic than those based on solid geometry. Points on the surfaces of the different structures in the torso except the heart were selected from the Visible Human Project CT data set, National Library of Medicine. Polygon surfaces were fit to the points for each structure and smoothed. 3D NURBS surfaces were fit to the smooth polygon surfaces. The heart model was generated with 4D NURBS as described in a previous study. The control points defining each NURBS surface can be manipulated to model anatomical variations and patient motion.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
Externally publishedYes
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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