Deformable Fourier surfaces for volume segmentation in SPECT

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Radiology, Nuclear Medicine and Medical Imaging
Original languageEnglish
Title of host publicationProceeedings of the Fourteenth International Conference on Pattern Recognition
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages358-360
Number of pages3
Volume1
ISBN (Print)0-8186-8512-3
Publication statusPublished - 1998
Publication categoryResearch
Peer-reviewedYes
Event14th International Conference on Pattern Recognition (ICPR 1998) - Brisbane, Qld., Brisbane, Australia
Duration: 1998 Aug 161998 Aug 20
Conference number: 14

Publication series

Name
Volume1
ISSN (Print)1051-4651

Conference

Conference14th International Conference on Pattern Recognition (ICPR 1998)
CountryAustralia
CityBrisbane
Period1998/08/161998/08/20