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Deformable Fourier surfaces for volume segmentation in SPECT

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4 Author(s)
Floreby, L. ; Dept. of Appl. Electron., Lund Univ., Sweden ; Sjogreen, K. ; Sornmo, L. ; Ljungberg, M.

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

Published in:

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on  (Volume:1 )

Date of Conference:

16-20 Aug 1998

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