Semi-automatic thyroid area measurement based on ultrasound image

  • Authors:

  • Eko Supriyanto;Nik M. Arif;Akmal Hayati Rusli;Nasrul Humaimi

  • Affiliations:

  • Advanced Diagnostics and Progressive Human Care Research Group, Research Alliance Biotechnology, Faculty of Health Science and Biomedical Engineering, Universiti Teknologi Malaysia, Johor, Malaysi ...;Advanced Diagnostics and Progressive Human Care Research Group, Research Alliance Biotechnology, Faculty of Health Science and Biomedical Engineering, Universiti Teknologi Malaysia, Johor, Malaysi ...;Advanced Diagnostics and Progressive Human Care Research Group, Research Alliance Biotechnology, Faculty of Health Science and Biomedical Engineering, Universiti Teknologi Malaysia, Johor, Malaysi ...;Advanced Diagnostics and Progressive Human Care Research Group, Research Alliance Biotechnology, Faculty of Health Science and Biomedical Engineering, Universiti Teknologi Malaysia, Johor, Malaysi ...

  • Venue:
  • Proceedings of the 15th WSEAS international conference on Computers
  • Year:
  • 2011

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Abstract

This paper presents the simple guide to determine the thyroid lobes in thyroid ultrasound image using MATLAB. The thyroid measurement and recognition system is very useful in medical field such as early thyroid cancer diagnostic. The thyroid ultrasound image will undergo the image enhancement method that is contrast enhancement histogram equalization to suppress speckle. Then the enhancement image will undergo local region-based active contour to segment the thyroid region. The thyroid region will be segmented into two parts that are right and left with the active contour method separately. This is due to the thyroid that divided into two lobes that is right lobe and left lobe. Thyroid ultrasound image transverse view will be used in this project. Therefore the measurement involve is only width, depth and area of thyroid region. The result of measurement involve of thyroid is successful calculated in pixel unit. The measurement is converted in centimeter (cm) unit. The proposed method can be used to enhance the image and segmentation the thyroid lobe. It shows that from five samples, different people have different size of thyroid especially in measurement of width, depth and area.