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Boundary finding using Fourier surfaces of increasing order

På svenska

Author

Summary, in English

Boundary finding in simulated medical images is performed by optimizing the Fourier coefficients in a parametric surface representation with respect to an objective function. The deformable model is fitted to the data using the brightness gradient component which is normal to the surface. A low order (<10) Fourier series expansion offers a sufficiently accurate representation for many inherently smooth objects that occur in medical imaging. Experimental results are presented for simulated image objects corresponding to organs of the anthropomorphic Zubal phantom. Two different optimization methods are studied concerning robustness and computational efficiency. The effect of increasing the Fourier expansion order is investigated for various noise levels

Publishing year

1998

Language

English

Pages

465-467

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