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Deformable Fourier surfaces for volume segmentation in SPECT

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Author

Summary, in English

Three-dimensional boundary finding based on Fourier surface optimization is presented as a method for segmentation of SPECT images. Being robust against noise and adjustable with respect to its detail resolution, it forms an interesting alternative in this application area. A three-dimensional approach can also be assumed to increase the possibility of delineating low contrast regions, as compared to a two-dimensional slice-by-slice approach. We apply boundary finding to Monte Carlo simulated SPECT images of the computer-based anthropomorphic Zubal phantom in order to evaluate the influence of object contrast and noise on the segmentation accuracy. Segmentation is also performed in real patient images

Publishing year

1998

Language

English

Pages

358-360

Publication/Series

Proceeedings of the Fourteenth International Conference on Pattern Recognition

Volume

1

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Radiology, Nuclear Medicine and Medical Imaging

Conference name

14th International Conference on Pattern Recognition (ICPR 1998)

Conference date

1998-08-16 - 1998-08-20

Conference place

Brisbane, Australia

Status

Published

ISBN/ISSN/Other

  • ISSN: 1051-4651
  • ISBN: 0-8186-8512-3