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Deformable Fourier surfaces for volume segmentation in SPECT

Publiceringsår: 1998
Språk: Engelska
Sidor: 358-360
Publikation/Tidskrift/Serie: Proceeedings of the Fourteenth International Conference on Pattern Recognition
Volym: 1
Dokumenttyp: Konferensbidrag
Förlag: IEEE--Institute of Electrical and Electronics Engineers Inc.


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


  • Radiology, Nuclear Medicine and Medical Imaging


14th International Conference on Pattern Recognition (ICPR 1998)
  • ISSN: 1051-4651
  • ISBN: 0-8186-8512-3

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