Algorithmic surface extraction from MRI data modelling the human vocal tract

D. Aalto; J. Helle; A. Huhtala; A. Kivelä; J. Malinen; J. Saunavaara; T. Ronkka

doi:10.5220/0004233302570260

Algorithmic surface extraction from MRI data modelling the human vocal tract

D. Aalto, J. Helle, A. Huhtala, A. Kivelä, J. Malinen, J. Saunavaara, T. Ronkka

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

5 Sitaatiot (Scopus)

Abstrakti

A procedure for the vectorisation and feature extraction of the human vocal tract is proposed. The raw data is obtained by high resolution 3D MRI. Because the amount of manual work in the data processing has been minimised, large datasets can be treated. The vectorised data can be used for both numerical as well as physical modelling of the vocal tract biophysics, including speech and applications in medicine.

Alkuperäiskieli	Englanti
Otsikko	BIODEVICES 2013 - Proceedings of the International Conference on Biomedical Electronics and Devices
Sivut	257-260
Sivumäärä	4
DOI - pysyväislinkit	https://doi.org/10.5220/0004233302570260
Tila	Julkaistu - 2013
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Biomedical Electronics and Devices - Barcelona, Espanja Kesto: 11 helmik. 2013 → 14 helmik. 2013

Conference

Conference	International Conference on Biomedical Electronics and Devices
Lyhennettä	BIODEVICES
Maa/Alue	Espanja
Kaupunki	Barcelona
Ajanjakso	11/02/2013 → 14/02/2013

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

Pääsy asiakirjaan

10.5220/0004233302570260Lisenssi: CC BY-NC-ND

Muut tiedostot ja linkit

Link to publication in Scopus

Siteeraa tätä

@inproceedings{638dc63ca689450aa9832109f824ecc0,

title = "Algorithmic surface extraction from MRI data modelling the human vocal tract",

abstract = "A procedure for the vectorisation and feature extraction of the human vocal tract is proposed. The raw data is obtained by high resolution 3D MRI. Because the amount of manual work in the data processing has been minimised, large datasets can be treated. The vectorised data can be used for both numerical as well as physical modelling of the vocal tract biophysics, including speech and applications in medicine.",

keywords = "3D image processing, Automatic surface extraction, FEM meshing, MRI, Physical modelling",

author = "D. Aalto and J. Helle and A. Huhtala and A. Kivel{\"a} and J. Malinen and J. Saunavaara and T. Ronkka",

year = "2013",

doi = "10.5220/0004233302570260",

language = "English",

isbn = "9789898565341",

pages = "257--260",

booktitle = "BIODEVICES 2013 - Proceedings of the International Conference on Biomedical Electronics and Devices",

note = "International Conference on Biomedical Electronics and Devices, BIODEVICES ; Conference date: 11-02-2013 Through 14-02-2013",

}

Aalto, D, Helle, J, Huhtala, A, Kivelä, A, Malinen, J, Saunavaara, J & Ronkka, T 2013, Algorithmic surface extraction from MRI data modelling the human vocal tract. julkaisussa BIODEVICES 2013 - Proceedings of the International Conference on Biomedical Electronics and Devices. Sivut 257-260, International Conference on Biomedical Electronics and Devices, Barcelona, Espanja, 11/02/2013. https://doi.org/10.5220/0004233302570260

TY - GEN

T1 - Algorithmic surface extraction from MRI data modelling the human vocal tract

AU - Aalto, D.

AU - Helle, J.

AU - Huhtala, A.

AU - Kivelä, A.

AU - Malinen, J.

AU - Saunavaara, J.

AU - Ronkka, T.

PY - 2013

Y1 - 2013

N2 - A procedure for the vectorisation and feature extraction of the human vocal tract is proposed. The raw data is obtained by high resolution 3D MRI. Because the amount of manual work in the data processing has been minimised, large datasets can be treated. The vectorised data can be used for both numerical as well as physical modelling of the vocal tract biophysics, including speech and applications in medicine.

AB - A procedure for the vectorisation and feature extraction of the human vocal tract is proposed. The raw data is obtained by high resolution 3D MRI. Because the amount of manual work in the data processing has been minimised, large datasets can be treated. The vectorised data can be used for both numerical as well as physical modelling of the vocal tract biophysics, including speech and applications in medicine.

KW - 3D image processing

KW - Automatic surface extraction

KW - FEM meshing

KW - MRI

KW - Physical modelling

UR - http://www.scopus.com/inward/record.url?scp=84877999925&partnerID=8YFLogxK

U2 - 10.5220/0004233302570260

DO - 10.5220/0004233302570260

M3 - Conference article in proceedings

AN - SCOPUS:84877999925

SN - 9789898565341

SP - 257

EP - 260

BT - BIODEVICES 2013 - Proceedings of the International Conference on Biomedical Electronics and Devices

T2 - International Conference on Biomedical Electronics and Devices

Y2 - 11 February 2013 through 14 February 2013

ER -

Algorithmic surface extraction from MRI data modelling the human vocal tract

Abstrakti

Conference

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Siteeraa tätä