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

3 Citations (Scopus)

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.
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

Fingerprint

Magnetic resonance
Pharynx
Interpolation
Magnetic Resonance Imaging
Imaging techniques
Fourier Analysis
Fast Fourier transforms
Artifacts
Tissue

Keywords

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

Cite this

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
Campbell, Sean ; Doshi, Trushali ; Soraghan, John ; Petropoulakis, Lykourgos ; Di Caterina, Gaetano ; Grose, Derek ; Mackenzie, Kenneth. / 3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods. 2015 37th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC). IEEE, 2015. pp. 2419-2422
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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.",
keywords = "MRI data, throat region MRI, pharynx segmentatio, fast fourier transform",
author = "Sean Campbell and Trushali Doshi and John Soraghan and Lykourgos Petropoulakis and {Di Caterina}, Gaetano and Derek Grose and Kenneth Mackenzie",
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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). IEEE, pp. 2419-2422. https://doi.org/10.1109/EMBC.2015.7318882

3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods. / Campbell, Sean; Doshi, Trushali; Soraghan, John; Petropoulakis, Lykourgos; Di Caterina, Gaetano; Grose, Derek; Mackenzie, Kenneth.

2015 37th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC). IEEE, 2015. p. 2419-2422.

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

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AB - 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.

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Campbell S, Doshi T, Soraghan J, Petropoulakis L, Di Caterina G, Grose D et al. 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). IEEE. 2015. p. 2419-2422 https://doi.org/10.1109/EMBC.2015.7318882