FFT based interpolation and 3 D level set methods for 3 D throat region segmentation from MRI data

نویسندگان

  • Trushali Doshi
  • John Soraghan
  • Lykourgos Petropoulakis
  • Gaetano Di Caterina
  • Derek Grose
  • Kenneth MacKenzie
چکیده

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

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تاریخ انتشار 2015