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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies
TilaJulkaistu - 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaINTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - Porto, Portugali
Kesto: 21 helmikuuta 201723 helmikuuta 2017
Konferenssinumero: 10

Conference

ConferenceINTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES
LyhennettäBIOSTEC
MaaPortugali
KaupunkiPorto
Ajanjakso21/02/201723/02/2017

ID: 14980940