Abstract
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 language | English |
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Title of host publication | Proceeedings of the Fourteenth International Conference on Pattern Recognition |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 465-467 |
Number of pages | 3 |
Volume | 1 |
ISBN (Print) | 0-8186-8512-3 |
DOIs | |
Publication status | Published - 1998 |
Event | 14th International Conference on Pattern Recognition (ICPR 1998) - Brisbane, Qld., Brisbane, Australia Duration: 1998 Aug 16 → 1998 Aug 20 Conference number: 14 |
Publication series
Name | |
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Volume | 1 |
ISSN (Print) | 1051-4651 |
Conference
Conference | 14th International Conference on Pattern Recognition (ICPR 1998) |
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Country/Territory | Australia |
City | Brisbane |
Period | 1998/08/16 → 1998/08/20 |
Subject classification (UKÄ)
- Radiology, Nuclear Medicine and Medical Imaging