Deformable Fourier surfaces for volume segmentation in SPECT
Floreby, L; Sjögreen Gleisner, Katarina; Sörnmo, Leif; Ljungberg, Michael (1998). Deformable Fourier surfaces for volume segmentation in SPECT Proceeedings of the Fourteenth International Conference on Pattern Recognition, 1,, 358 - 360. 14th International Conference on Pattern Recognition (ICPR 1998). Brisbane, Australia: IEEE - Institute of Electrical and Electronics Engineers Inc.
Conference Proceeding/Paper
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Published
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English
Authors:
Floreby, L
;
Sjögreen Gleisner, Katarina
;
Sörnmo, Leif
;
Ljungberg, Michael
Department:
Medical Radiation Physics, Lund
Department of Electrical and Information Technology
Abstract:
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
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