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Deformable Fourier surfaces for volume segmentation in SPECT

Floreby, L; Sjögreen Gleisner, Katarina LU ; Sörnmo, Leif LU and Ljungberg, Michael LU (1998) 14th International Conference on Pattern Recognition (ICPR 1998) In Proceeedings of the Fourteenth International Conference on Pattern Recognition 1. p.358-360
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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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proceeedings of the Fourteenth International Conference on Pattern Recognition
volume
1
pages
3 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
14th International Conference on Pattern Recognition (ICPR 1998)
ISSN
1051-4651
ISBN
0-8186-8512-3
DOI
10.1109/ICPR.1998.711153
language
English
LU publication?
yes
id
89d086c5-2dc9-482f-ab2b-69f5a43400c4 (old id 1114056)
date added to LUP
2008-07-11 12:44:18
date last changed
2016-07-12 09:40:26
@inproceedings{89d086c5-2dc9-482f-ab2b-69f5a43400c4,
  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},
  author       = {Floreby, L and Sjögreen Gleisner, Katarina and Sörnmo, Leif and Ljungberg, Michael},
  booktitle    = {Proceeedings of the Fourteenth International Conference on Pattern Recognition},
  isbn         = {0-8186-8512-3},
  issn         = {1051-4651},
  language     = {eng},
  pages        = {358--360},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Deformable Fourier surfaces for volume segmentation in SPECT},
  url          = {http://dx.doi.org/10.1109/ICPR.1998.711153},
  volume       = {1},
  year         = {1998},
}