3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods

Sean Campbell, Trushali Doshi, John Soraghan, Lykourgos Petropoulakis, Gaetano Di Caterina, Derek Grose, Kenneth Mackenzie

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)
136 Downloads (Pure)

Abstract

A new algorithm for 3D throat region segmentation from magnetic resonance imaging (MRI) is presented. The proposed algorithm initially pre-processes the MRI data to increase the contrast between the throat region and its surrounding tissues and also to reduce artifacts. Isotropic 3D volume is reconstructed using Fast Fourier Transform based interpolation. Furthermore, a cube encompassing the throat region is evolved using level set method to form a smooth 3D boundary of the throat region. The results of the proposed algorithm on real and synthetic MRI data are used to validate the robustness and accuracy of the algorithm.
Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Pages2419-2422
Number of pages4
ISBN (Print)978-1-4244-9270-1
DOIs
Publication statusPublished - Aug 2015

Keywords

  • MRI data
  • throat region MRI
  • pharynx segmentatio
  • fast fourier transform

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    Campbell, S., Doshi, T., Soraghan, J., Petropoulakis, L., Di Caterina, G., Grose, D., & Mackenzie, K. (2015). 3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods. In 2015 37th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC) (pp. 2419-2422). IEEE. https://doi.org/10.1109/EMBC.2015.7318882