Semi-automatic segmentation of speech articulators using MRI images

Yuanming Suo; Emi Z. Murano; Maureen Stone; Paul M. Evitts; Jerry L. Prince

Semi-automatic segmentation of speech articulators using MRI images

Yuanming Suo, Emi Z. Murano, Maureen Stone, Paul M. Evitts, Jerry L. Prince

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper used the random walker, a multiple structure semiautomatic segmentation approach, for rapid delineation of speech articulators in magnetic resonance imaging (MRI) images. Results on the delineation of the tongue and surrounding structures in both 2D and 3D are shown. Efficiency and sensitivity of the approach as well as other factors that may affect the results were assessed by analyzing the delineations of naive raters who used the program. The results of both naive raters and experts using the semi-automatic program were compared to expert manual delineations. Our results show that this semi-automatic approach is efficient, accurate, and easy to use.

Original language	English (US)
Pages	9-15
Number of pages	7
State	Published - 2011
Externally published	Yes
Event	2011 9th International Seminar on Speech Production, ISSP 2011 - Montreal, Canada Duration: Jun 20 2011 → Jun 23 2011

Other

Other	2011 9th International Seminar on Speech Production, ISSP 2011
Country/Territory	Canada
City	Montreal
Period	6/20/11 → 6/23/11

ASJC Scopus subject areas

Language and Linguistics
Linguistics and Language
Computer Science Applications

Cite this

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title = "Semi-automatic segmentation of speech articulators using MRI images",

abstract = "This paper used the random walker, a multiple structure semiautomatic segmentation approach, for rapid delineation of speech articulators in magnetic resonance imaging (MRI) images. Results on the delineation of the tongue and surrounding structures in both 2D and 3D are shown. Efficiency and sensitivity of the approach as well as other factors that may affect the results were assessed by analyzing the delineations of naive raters who used the program. The results of both naive raters and experts using the semi-automatic program were compared to expert manual delineations. Our results show that this semi-automatic approach is efficient, accurate, and easy to use.",

author = "Yuanming Suo and Murano, {Emi Z.} and Maureen Stone and Evitts, {Paul M.} and Prince, {Jerry L.}",

year = "2011",

language = "English (US)",

pages = "9--15",

note = "2011 9th International Seminar on Speech Production, ISSP 2011 ; Conference date: 20-06-2011 Through 23-06-2011",

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TY - CONF

T1 - Semi-automatic segmentation of speech articulators using MRI images

AU - Suo, Yuanming

AU - Murano, Emi Z.

AU - Stone, Maureen

AU - Evitts, Paul M.

AU - Prince, Jerry L.

PY - 2011

Y1 - 2011

N2 - This paper used the random walker, a multiple structure semiautomatic segmentation approach, for rapid delineation of speech articulators in magnetic resonance imaging (MRI) images. Results on the delineation of the tongue and surrounding structures in both 2D and 3D are shown. Efficiency and sensitivity of the approach as well as other factors that may affect the results were assessed by analyzing the delineations of naive raters who used the program. The results of both naive raters and experts using the semi-automatic program were compared to expert manual delineations. Our results show that this semi-automatic approach is efficient, accurate, and easy to use.

AB - This paper used the random walker, a multiple structure semiautomatic segmentation approach, for rapid delineation of speech articulators in magnetic resonance imaging (MRI) images. Results on the delineation of the tongue and surrounding structures in both 2D and 3D are shown. Efficiency and sensitivity of the approach as well as other factors that may affect the results were assessed by analyzing the delineations of naive raters who used the program. The results of both naive raters and experts using the semi-automatic program were compared to expert manual delineations. Our results show that this semi-automatic approach is efficient, accurate, and easy to use.

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M3 - Paper

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EP - 15

T2 - 2011 9th International Seminar on Speech Production, ISSP 2011

Y2 - 20 June 2011 through 23 June 2011

ER -

Semi-automatic segmentation of speech articulators using MRI images

Abstract

Other

ASJC Scopus subject areas

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