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

Antti Ojalammi; Jarmo Malinen

doi:10.5220/0006138300770084

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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

10 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies
Kustantaja	SciTePress
Sivut	77-84
Vuosikerta	2
ISBN (painettu)	978-989-758-215-8
DOI - pysyväislinkit	https://doi.org/10.5220/0006138300770084
Tila	Julkaistu - 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - Porto, Portugali Kesto: 21 helmik. 2017 → 23 helmik. 2017 Konferenssinumero: 10

Conference

Conference	INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES
Lyhennettä	BIOSTEC
Maa/Alue	Portugali
Kaupunki	Porto
Ajanjakso	21/02/2017 → 23/02/2017

Pääsy asiakirjaan

10.5220/0006138300770084

Siteeraa tätä

@inproceedings{9b251bdc6dfb490698a9380bec76b7fc,

title = "Automated Segmentation of Upper Airways from MRI: Vocal Tract Geometry Extraction",

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.",

keywords = "MRI, 3D Image Processing, Automatic Surface Extraction, Vocal Tract",

author = "Antti Ojalammi and Jarmo Malinen",

year = "2017",

doi = "10.5220/0006138300770084",

language = "English",

isbn = "978-989-758-215-8",

volume = "2",

pages = "77--84",

booktitle = "Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies",

publisher = "SciTePress",

address = "Portugal",

note = "International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC ; Conference date: 21-02-2017 Through 23-02-2017",

}

Ojalammi, A & Malinen, J 2017, Automated Segmentation of Upper Airways from MRI: Vocal Tract Geometry Extraction. julkaisussa Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies . Vuosikerta 2, SciTePress, Sivut 77-84, INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, Porto, Portugali, 21/02/2017. https://doi.org/10.5220/0006138300770084

Automated Segmentation of Upper Airways from MRI: Vocal Tract Geometry Extraction. / Ojalammi, Antti; Malinen, Jarmo.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies . Vuosikerta 2 SciTePress, 2017. s. 77-84.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Automated Segmentation of Upper Airways from MRI

T2 - International Joint Conference on Biomedical Engineering Systems and Technologies

AU - Ojalammi, Antti

AU - Malinen, Jarmo

N1 - Conference code: 10

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - MRI

KW - 3D Image Processing

KW - Automatic Surface Extraction

KW - Vocal Tract

U2 - 10.5220/0006138300770084

DO - 10.5220/0006138300770084

M3 - Conference article in proceedings

SN - 978-989-758-215-8

VL - 2

SP - 77

EP - 84

BT - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies

PB - SciTePress

Y2 - 21 February 2017 through 23 February 2017

ER -

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

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