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

Tools

Campbell, Sean and Doshi, Trushali and Soraghan, John and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Grose, Derek and Mackenzie, Kenneth; (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. ISBN 978-1-4244-9270-1 (https://doi.org/10.1109/EMBC.2015.7318882)

[thumbnail of Campbell-etal-IEEE-EMBS-FFT-based-interpolation-and-3D-level-set-methods-for-3D-throat]
Preview
 Text. Filename: Campbell_etal_IEEE_EMBS_FFT_based_interpolation_and_3D_level_set_methods_for_3D_throat.pdf
Accepted Author Manuscript
Download (452kB)| Preview

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.

ORCID iDs

Campbell, Sean, Doshi, Trushali ORCID logoORCID: https://orcid.org/0000-0002-6556-112X, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391, Petropoulakis, Lykourgos ORCID logoORCID: https://orcid.org/0000-0003-3230-9670, Di Caterina, Gaetano ORCID logoORCID: https://orcid.org/0000-0002-7256-0897, Grose, Derek and Mackenzie, Kenneth;
CORE (COnnecting REpositories)