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Greedy Active Contour Detection for Median Nerve on Strain Sonographic Images

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Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 329))

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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.

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References

  1. Wong, S.M., Griffith, J.F., Hui Andrew, C.F., Lo, S.K., Fu, M., Wong, K.S.: Carpal Tunnel Syndrome: Diagnostic Usefulness of Sonography. Radiology 232, 93–99 (2004), doi:10.1148/radiol.2321030071; Published online before print May 20, 2004

    Google Scholar 

  2. Britz, G.W., Haynor, D.R., Kuntz, C., Goodkin, R., Gitter, A., Kliot, M.: Carpal tunnel syndrome: correlation of magnetic resonance imaging, clinical, electrodiagnostic, and intraoperative findings. Neurosurgery 37(6), 1097–1103 (1995)

    Article  Google Scholar 

  3. Duncan, I., Sullivan, P., Lomas, F.: Sonography in the diagnosis of carpal tunnel syndrome. AJR Am. J. Roentgenol. 173(3), 681–684 (1999)

    Article  Google Scholar 

  4. John, V., Nau, H.E., Nahser, H.C., Reinhardt, V., Venjakob, K.: CT of carpal tunnel syndrome. AJNR Am. J. Neuroradiol. 4(3), 770–772 (1983)

    Google Scholar 

  5. Keles, I., Karagulle Kendi, A.T., Aydin, G., Zog, S.G., Orkun, S.: Diagnostic precision of ultrasonography in patients with carpal tunnel syndrome. Am. J. Phys. Med. Rehabil. 84(6), 443–450 (2005)

    Article  Google Scholar 

  6. Dilley, A., Lynn, B., Greening, J., DeLeon, N.: Quantitative in vivo studies of median nerve sliding in response to wrist, elbow, shoulder and neck movements. Clin. Biomech. 18(10), 899–907 (2003)

    Article  Google Scholar 

  7. Yoshii, Y., Villarraga, H.R., Henderson, J., Zhao, C., An, K.N., Amadio, P.C.: Ultrasound assessment of the displacement and deformation of the median nerve in the human carpal tunnel with active finger motion. J. Bone Joint Surg. Am. 91(12), 2922–2930 (2009)

    Article  Google Scholar 

  8. Tiilikainen, N.P.: A Comparative Study of Active Contour Snakes, pp. 21–26. Copenhagen University, Denmark (2007)

    Google Scholar 

  9. Castleman, K.R., Riopka, T.P., Qiang, W.: FISH image analysis. IEEE Engineering in Medicine and Biology Magazine 15, 67–75 (1996)

    Article  Google Scholar 

  10. Williams, D.J., Shah, M.: A fast algorithm for active contours and curvature estimation. CVGIP: Image Underst. 55, 14–26 (1992)

    Article  MATH  Google Scholar 

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Correspondence to Chii-Jen Chen .

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© 2015 Springer International Publishing Switzerland

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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: Sun, H., Yang, CY., Lin, CW., Pan, JS., Snasel, V., Abraham, A. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-319-12286-1_32

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  • DOI: https://doi.org/10.1007/978-3-319-12286-1_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12285-4

  • Online ISBN: 978-3-319-12286-1

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