title: 3-dimensional throat region segmentation from MRI data based on Fourier interpolation and 3-dimensional level set methods.
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 to reduce artifacts. Isotropic 3D volume is reconstructed using the Fourier 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.
authors.forename: Sean
authors.initials: S
authors.lastname: Campbell
authors.forename: Trushali
authors.initials: T
authors.lastname: Doshi
authors.forename: John
authors.initials: J
authors.lastname: Soraghan
authors.forename: Lykourgos
authors.initials: L
authors.lastname: Petropoulakis
authors.forename: Gaetano
authors.initials: G
authors.lastname: Di Caterina
authors.forename: Derek
authors.initials: D
authors.lastname: Grose
authors.forename: Kenneth
authors.initials: K
authors.lastname: MacKenzie
mesh_terms: D000465:Algorithms; D016477:Artifacts; D005583:Fourier Analysis; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging; D010614:Pharynx; D015203:Reproducibility of Results