Deformable Fourier surfaces for volume segmentation in SPECT
Publikation/Tidskrift/Serie: Proceeedings of the Fourteenth International Conference on Pattern Recognition
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