Greedy active contour detection for median nerve on strain sonographic images

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationGenetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary
EditorsHui Sun, Vaclav Snasel, Chun-Wei Lin, Jeng-Shyang Pan, Ajith Abraham, Ching-Yu Yang, Chun-Wei Lin
PublisherSpringer Verlag
Pages317-324
Number of pages8
ISBN (Electronic)9783319122854
DOIs
Publication statusPublished - 2015 Jan 1
Event8th International Conference on Genetic and Evolutionary Computing, ICGEC 2014 - Nanchang, China
Duration: 2014 Oct 182014 Oct 20

Publication series

NameAdvances in Intelligent Systems and Computing
Volume329
ISSN (Print)2194-5357

Conference

Conference8th International Conference on Genetic and Evolutionary Computing, ICGEC 2014
CountryChina
CityNanchang
Period14-10-1814-10-20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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