Deformable Fourier surfaces for volume segmentation in SPECT
(1998) 14th International Conference on Pattern Recognition (ICPR 1998) 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
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1114056
- author
- Floreby, L ; Sjögreen Gleisner, Katarina LU ; Sörnmo, Leif LU and Ljungberg, Michael LU
- organization
- publishing date
- 1998
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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)
- conference location
- Brisbane, Australia
- conference dates
- 1998-08-16 - 1998-08-20
- 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
- 2016-04-01 16:16:25
- date last changed
- 2018-11-21 20:40:06
@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}}, doi = {{10.1109/ICPR.1998.711153}}, volume = {{1}}, year = {{1998}}, }