Automated Segmentation of Upper Airways from MRI: Vocal Tract Geometry Extraction

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8 Citations (Scopus)

Abstract

An algorithm for automatically extracting a triangulated surface mesh of the human vocal tract from 3D MRI data is proposed. The algorithm is based on a combination of anatomic landmarking, seeded region growing, and smoothing. Using these methods, a mask is automatically created for removing unwanted details not associated with the vocal tract from the MRI voxel data. The mask is then applied to the original MRI data, after which marching cubes algorithm is used for extracting a triangulated surface. The proposed method can be used for processing large datasets, e.g., for validation of numerical methods in speech sciences as well as for anatomical studies.
Original languageEnglish
Title of host publicationProceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies
Pages77-84
Volume2
DOIs
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Joint Conference on Biomedical Engineering Systems and Technologies - Porto, Portugal
Duration: 21 Feb 201723 Feb 2017
Conference number: 10

Conference

ConferenceInternational Joint Conference on Biomedical Engineering Systems and Technologies
Abbreviated titleBIOSTEC
CountryPortugal
CityPorto
Period21/02/201723/02/2017

Keywords

  • MRI
  • 3D Image Processing
  • Automatic Surface Extraction
  • Vocal Tract

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    Ojalammi, A., & Malinen, J. (2017). Automated Segmentation of Upper Airways from MRI: Vocal Tract Geometry Extraction. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (Vol. 2, pp. 77-84) https://doi.org/10.5220/0006138300770084