Boundary finding using Fourier surfaces of increasing order

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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
Original languageEnglish
Title of host publicationProceeedings of the Fourteenth International Conference on Pattern Recognition
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Print)0-8186-8512-3
Publication statusPublished - 1998
Event14th International Conference on Pattern Recognition (ICPR 1998) - Brisbane, Qld., Brisbane, Australia
Duration: 1998 Aug 161998 Aug 20
Conference number: 14

Publication series

ISSN (Print)1051-4651


Conference14th International Conference on Pattern Recognition (ICPR 1998)

Subject classification (UKÄ)

  • Radiology, Nuclear Medicine and Medical Imaging


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