Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities

Sajini Hewavitharanage; Jayavardhana Gubbi; Dominic Thyagarajan; Ken Lau; Marimuthu S Palaniswami

doi:10.1109/EMBC.2015.7319049

Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities

Sajini Hewavitharanage, Jayavardhana Gubbi, Dominic Thyagarajan, Ken Lau, Marimuthu S Palaniswami

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

8 Citations (Scopus)

Abstract

Vocal folds are the key body structures that are responsible for phonation and regulating air movement into and out of lungs. Various vocal fold disorders may seriously impact the quality of life. When diagnosing vocal fold disorders, CT of the neck is the commonly used imaging method. However, vocal folds do not align with the normal axial plane of a neck and the plane containing vocal cords and arytenoids does vary during phonation. It is therefore important to generate an algorithm for detecting the actual plane containing vocal folds. In this paper, we propose a method to automatically estimate the vocal fold plane using vertebral column and anterior commissure localization. Gray-level thresholding, connected component analysis, rule based segmentation and unsupervised k-means clustering were used in the proposed algorithm. The anterior commissure segmentation method achieved an accuracy of 85%, a good estimate of the expert assessment.

Original language	English
Title of host publication	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)
Editors	Jim Patton
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	3105-3108
Number of pages	4
ISBN (Electronic)	9781424492718
ISBN (Print)	9781424492695
DOIs	https://doi.org/10.1109/EMBC.2015.7319049
Publication status	Published - 4 Nov 2015
Externally published	Yes
Event	International Conference of the IEEE Engineering in Medicine and Biology Society 2015 - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 Conference number: 37th https://embc.embs.org/2015/ https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding (Proceedings)

Conference

Conference	International Conference of the IEEE Engineering in Medicine and Biology Society 2015
Abbreviated title	EMBC 2015
Country/Territory	Italy
City	Milan
Period	25/08/15 → 29/08/15
Internet address	https://embc.embs.org/2015/ https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding (Proceedings)

Access to Document

10.1109/EMBC.2015.7319049

Cite this

Hewavitharanage, S., Gubbi, J., Thyagarajan, D., Lau, K., & Palaniswami, M. S. (2015). Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities. In J. Patton (Ed.), 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015) (pp. 3105-3108). Article 7319049 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2015.7319049

Hewavitharanage, Sajini ; Gubbi, Jayavardhana ; Thyagarajan, Dominic et al. / Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015). editor / Jim Patton. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 3105-3108

@inproceedings{76fa2e24488f462d89ab620301bd9205,

title = "Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities",

abstract = "Vocal folds are the key body structures that are responsible for phonation and regulating air movement into and out of lungs. Various vocal fold disorders may seriously impact the quality of life. When diagnosing vocal fold disorders, CT of the neck is the commonly used imaging method. However, vocal folds do not align with the normal axial plane of a neck and the plane containing vocal cords and arytenoids does vary during phonation. It is therefore important to generate an algorithm for detecting the actual plane containing vocal folds. In this paper, we propose a method to automatically estimate the vocal fold plane using vertebral column and anterior commissure localization. Gray-level thresholding, connected component analysis, rule based segmentation and unsupervised k-means clustering were used in the proposed algorithm. The anterior commissure segmentation method achieved an accuracy of 85%, a good estimate of the expert assessment.",

author = "Sajini Hewavitharanage and Jayavardhana Gubbi and Dominic Thyagarajan and Ken Lau and Palaniswami, {Marimuthu S}",

year = "2015",

month = nov,

day = "4",

doi = "10.1109/EMBC.2015.7319049",

language = "English",

isbn = "9781424492695",

pages = "3105--3108",

editor = "Patton, {Jim }",

booktitle = "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Conference of the IEEE Engineering in Medicine and Biology Society 2015, EMBC 2015 ; Conference date: 25-08-2015 Through 29-08-2015",

url = "https://embc.embs.org/2015/, https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding",

}

Hewavitharanage, S, Gubbi, J, Thyagarajan, D, Lau, K & Palaniswami, MS 2015, Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities. in J Patton (ed.), 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)., 7319049, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 3105-3108, International Conference of the IEEE Engineering in Medicine and Biology Society 2015, Milan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7319049

Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities. / Hewavitharanage, Sajini; Gubbi, Jayavardhana; Thyagarajan, Dominic et al.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015). ed. / Jim Patton. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 3105-3108 7319049.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities

AU - Hewavitharanage, Sajini

AU - Gubbi, Jayavardhana

AU - Thyagarajan, Dominic

AU - Lau, Ken

AU - Palaniswami, Marimuthu S

N1 - Conference code: 37th

PY - 2015/11/4

Y1 - 2015/11/4

N2 - Vocal folds are the key body structures that are responsible for phonation and regulating air movement into and out of lungs. Various vocal fold disorders may seriously impact the quality of life. When diagnosing vocal fold disorders, CT of the neck is the commonly used imaging method. However, vocal folds do not align with the normal axial plane of a neck and the plane containing vocal cords and arytenoids does vary during phonation. It is therefore important to generate an algorithm for detecting the actual plane containing vocal folds. In this paper, we propose a method to automatically estimate the vocal fold plane using vertebral column and anterior commissure localization. Gray-level thresholding, connected component analysis, rule based segmentation and unsupervised k-means clustering were used in the proposed algorithm. The anterior commissure segmentation method achieved an accuracy of 85%, a good estimate of the expert assessment.

AB - Vocal folds are the key body structures that are responsible for phonation and regulating air movement into and out of lungs. Various vocal fold disorders may seriously impact the quality of life. When diagnosing vocal fold disorders, CT of the neck is the commonly used imaging method. However, vocal folds do not align with the normal axial plane of a neck and the plane containing vocal cords and arytenoids does vary during phonation. It is therefore important to generate an algorithm for detecting the actual plane containing vocal folds. In this paper, we propose a method to automatically estimate the vocal fold plane using vertebral column and anterior commissure localization. Gray-level thresholding, connected component analysis, rule based segmentation and unsupervised k-means clustering were used in the proposed algorithm. The anterior commissure segmentation method achieved an accuracy of 85%, a good estimate of the expert assessment.

UR - http://www.scopus.com/inward/record.url?scp=84953341146&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2015.7319049

DO - 10.1109/EMBC.2015.7319049

M3 - Conference Paper

C2 - 26736949

AN - SCOPUS:84953341146

SN - 9781424492695

SP - 3105

EP - 3108

BT - 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)

A2 - Patton, Jim

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - International Conference of the IEEE Engineering in Medicine and Biology Society 2015

Y2 - 25 August 2015 through 29 August 2015

ER -

Hewavitharanage S, Gubbi J, Thyagarajan D, Lau K, Palaniswami MS. Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities. In Patton J, editor, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 3105-3108. 7319049 doi: 10.1109/EMBC.2015.7319049

Estimation of vocal fold plane in 3D CT images for diagnosis of vocal fold abnormalities

Abstract

Conference

Access to Document

Other files and links

Cite this