Greedy active contour detection for median nerve on strain sonographic images

Chii Jen Chen; You Wei Wang; Sheng Fang Huang; Yi Shiung Horng

doi:10.1007/978-3-319-12286-1_32

Greedy active contour detection for median nerve on strain sonographic images

Chii Jen Chen, You Wei Wang, Sheng Fang Huang, Yi Shiung Horng

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Carpal tunnel syndrome (CTS) is commonly occurred in occupations using vibrating manual tools or handling tasks with highly repetitive and forceful manual exertion. Recently, the ultrasonography has been used to evaluate CTS by monitoring median nerve movements. In order to facilitate the automatic extraction of shape characteristics for the median nerve, this paper designed a procedure that used greedy active contour detection model (GACD) to detect the edge of median nerve in ultrasound image. We selected a ROI to be an initial of virtual contour for median nerve in original ultrasound image. That can enhance the sensitivity of proposed GACD model to detect the contour of median nerve. In the experiment, the results show that the performance of the method is feasible and accurate.

Original language	English
Title of host publication	Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary
Editors	Hui Sun, Vaclav Snasel, Chun-Wei Lin, Jeng-Shyang Pan, Ajith Abraham, Ching-Yu Yang, Chun-Wei Lin
Publisher	Springer Verlag
Pages	317-324
Number of pages	8
ISBN (Electronic)	9783319122854
DOIs	https://doi.org/10.1007/978-3-319-12286-1_32
Publication status	Published - 2015 Jan 1
Event	8th International Conference on Genetic and Evolutionary Computing, ICGEC 2014 - Nanchang, China Duration: 2014 Oct 18 → 2014 Oct 20

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	329
ISSN (Print)	2194-5357

Conference

Conference	8th International Conference on Genetic and Evolutionary Computing, ICGEC 2014
Country	China
City	Nanchang
Period	14-10-18 → 14-10-20

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-319-12286-1_32

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Chen, C. J., Wang, Y. W., Huang, S. F., & Horng, Y. S. (2015). Greedy active contour detection for median nerve on strain sonographic images. In H. Sun, V. Snasel, C-W. Lin, J-S. Pan, A. Abraham, C-Y. Yang, & C-W. Lin (Eds.), Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary (pp. 317-324). (Advances in Intelligent Systems and Computing; Vol. 329). Springer Verlag. https://doi.org/10.1007/978-3-319-12286-1_32

Chen, Chii Jen ; Wang, You Wei ; Huang, Sheng Fang ; Horng, Yi Shiung. / Greedy active contour detection for median nerve on strain sonographic images. Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary. editor / Hui Sun ; Vaclav Snasel ; Chun-Wei Lin ; Jeng-Shyang Pan ; Ajith Abraham ; Ching-Yu Yang ; Chun-Wei Lin. Springer Verlag, 2015. pp. 317-324 (Advances in Intelligent Systems and Computing).

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title = "Greedy active contour detection for median nerve on strain sonographic images",

abstract = "Carpal tunnel syndrome (CTS) is commonly occurred in occupations using vibrating manual tools or handling tasks with highly repetitive and forceful manual exertion. Recently, the ultrasonography has been used to evaluate CTS by monitoring median nerve movements. In order to facilitate the automatic extraction of shape characteristics for the median nerve, this paper designed a procedure that used greedy active contour detection model (GACD) to detect the edge of median nerve in ultrasound image. We selected a ROI to be an initial of virtual contour for median nerve in original ultrasound image. That can enhance the sensitivity of proposed GACD model to detect the contour of median nerve. In the experiment, the results show that the performance of the method is feasible and accurate.",

author = "Chen, {Chii Jen} and Wang, {You Wei} and Huang, {Sheng Fang} and Horng, {Yi Shiung}",

year = "2015",

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doi = "10.1007/978-3-319-12286-1_32",

language = "English",

series = "Advances in Intelligent Systems and Computing",

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editor = "Hui Sun and Vaclav Snasel and Chun-Wei Lin and Jeng-Shyang Pan and Ajith Abraham and Ching-Yu Yang and Chun-Wei Lin",

booktitle = "Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary",

address = "Germany",

note = "8th International Conference on Genetic and Evolutionary Computing, ICGEC 2014 ; Conference date: 18-10-2014 Through 20-10-2014",

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Chen, CJ, Wang, YW, Huang, SF & Horng, YS 2015, Greedy active contour detection for median nerve on strain sonographic images. in H Sun, V Snasel, C-W Lin, J-S Pan, A Abraham, C-Y Yang & C-W Lin (eds), Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary. Advances in Intelligent Systems and Computing, vol. 329, Springer Verlag, pp. 317-324, 8th International Conference on Genetic and Evolutionary Computing, ICGEC 2014, Nanchang, China, 14-10-18. https://doi.org/10.1007/978-3-319-12286-1_32

Greedy active contour detection for median nerve on strain sonographic images. / Chen, Chii Jen; Wang, You Wei; Huang, Sheng Fang; Horng, Yi Shiung.

Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary. ed. / Hui Sun; Vaclav Snasel; Chun-Wei Lin; Jeng-Shyang Pan; Ajith Abraham; Ching-Yu Yang; Chun-Wei Lin. Springer Verlag, 2015. p. 317-324 (Advances in Intelligent Systems and Computing; Vol. 329).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Greedy active contour detection for median nerve on strain sonographic images

AU - Chen, Chii Jen

AU - Wang, You Wei

AU - Huang, Sheng Fang

AU - Horng, Yi Shiung

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N2 - Carpal tunnel syndrome (CTS) is commonly occurred in occupations using vibrating manual tools or handling tasks with highly repetitive and forceful manual exertion. Recently, the ultrasonography has been used to evaluate CTS by monitoring median nerve movements. In order to facilitate the automatic extraction of shape characteristics for the median nerve, this paper designed a procedure that used greedy active contour detection model (GACD) to detect the edge of median nerve in ultrasound image. We selected a ROI to be an initial of virtual contour for median nerve in original ultrasound image. That can enhance the sensitivity of proposed GACD model to detect the contour of median nerve. In the experiment, the results show that the performance of the method is feasible and accurate.

AB - Carpal tunnel syndrome (CTS) is commonly occurred in occupations using vibrating manual tools or handling tasks with highly repetitive and forceful manual exertion. Recently, the ultrasonography has been used to evaluate CTS by monitoring median nerve movements. In order to facilitate the automatic extraction of shape characteristics for the median nerve, this paper designed a procedure that used greedy active contour detection model (GACD) to detect the edge of median nerve in ultrasound image. We selected a ROI to be an initial of virtual contour for median nerve in original ultrasound image. That can enhance the sensitivity of proposed GACD model to detect the contour of median nerve. In the experiment, the results show that the performance of the method is feasible and accurate.

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BT - Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary

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Chen CJ, Wang YW, Huang SF, Horng YS. Greedy active contour detection for median nerve on strain sonographic images. In Sun H, Snasel V, Lin C-W, Pan J-S, Abraham A, Yang C-Y, Lin C-W, editors, Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary. Springer Verlag. 2015. p. 317-324. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-12286-1_32