Top > JACIII > Algorithm for Estimation of Thyroid Gland Size in Ultrasonogra ...

single-jc.php

JACIII Vol.16 No.1 pp. 87-93
doi: 10.20965/jaciii.2012.p0087
(2012)

Paper:

Views over last 60 days: 723

Algorithm for Estimation of Thyroid Gland Size in Ultrasonography Images for Extracting Abnormal Thyroid in Medical Practice

Yutaka Hatakeyama, Hiromi Kataoka, Noriaki Nakajima,
Teruaki Watabe, and Yoshiyasu Okuhara

Center of Medical Information Science, Kochi University, Oko-cho Kohasu, Nankoku-shi, Kochi 783-8505, Japan

Received:
July 4, 2011
Accepted:
October 12, 2011
Published:
January 20, 2012
Creative Commons License
Keywords:
ultrasonography, ultrasound image, image processing
Abstract
Measurement algorithm for the size of the thyroid gland in ultrasonography (US) images has been proposed on the basis of the position of the neighboring regions in order to objectively evaluate target organs for medical screening and secondary use. The measurement algorithm extracts the operator’s notion about the setting information on the basis of a drawn mark in the US images for decreasing computational costs. The measurement experiments for real US images performed in Kochi Medical School Hospital showed that the proposed algorithm detects the neighboring regions for the all target US images and that the enlarged thyroid glands evaluated by the proposed algorithm have relation with other blood test results. The proposed algorithmcan assist the evaluation of US screening and medical data analysis on the basis of the quantitative value of the US images.
Cite this article as:
Y. Hatakeyama, H. Kataoka, N. Nakajima, T. Watabe, and Y. Okuhara, “Algorithm for Estimation of Thyroid Gland Size in Ultrasonography Images for Extracting Abnormal Thyroid in Medical Practice,” J. Adv. Comput. Intell. Intell. Inform., Vol.16 No.1, pp. 87-93, 2012.
Data files:
References
  1. [1] B. J. Vazquez and M. L. Richards, “Imaging of the thyroid and parathyroid glands,” Surg. Clin. North Am. Vol.91, No.1, pp. 15-32, 2011.
  2. [2] A. Gursoy, C. Anil, A. D. Unal, A. N. Demirer, N. B. Tutuncu, and M. F. Erdogan, “Clinical and epidemiological characteristics of thyroid hemiagenesis: ultrasound screening in patients with thyroid disease and normal population,” Endocrine. Vol.33, No.3, pp. 338-341, 2008.
  3. [3] J. T. Adler, H. Chen, S. Schaefer, and R. S. Sippel, “Does routine use of ultrasound result in additional thyroid procedures in patients with primary hyperparathyroidism?,” J. Am. Coll. Surg. Vol.211, No.4, pp. 536-539, 2010.
  4. [4] B. Zhang, Y. X. Jiang, J. B. Liu, M. Yang, Q. Dai, QL. Zhu, and P. Gao, “Utility of contrast-enhanced ultrasound for evaluation of thyroid nodules,” Thyroid. Vol.20, No.1, pp. 51-57, 2010.
  5. [5] C. Y. Chang, Y. F. Lei, C. H. Tseng, and S. R. Shih, “Thyroid segmentation and volume estimation in ultrasound images,” IEEE Trans. Biomed Eng., Vol.57, No.6, pp. 1348-1357, 2010.
  6. [6] A. Yu and L. Lovstakken, “Eigen-based clutter filter design for ultrasound color flow imaging: a review,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control. Vol.57, No.5, pp. 1096-1111, 2010.
  7. [7] E. Eray, F. Sari, S. Ozdem, and R. Sari, “Relationship between thyroid volume and iodine, leptin, and adiponectin in obese women before and after weight loss,” Med. Princ. Pract. Vol.20, No.1, pp. 43-46, 2011.
  8. [8] S. Henjum, T. A. Strand, L. E. Torheim, A. Oshaug, and C. L. Parr, “Data quality and practical challenges of thyroid volume assessment by ultrasound under field conditions – observer errors may affect prevalence estimates of goiter,” Nutr. J. Vol.14, p. 66, 2010.
  9. [9] Y. Hatakeyama, H. Kataoka, N. Nakajima, T. Watabe, and Y. Okuhara, “A Classification Algorithm of Abdominal Ultrasound Images in Medical Practice for Secondary Uses,” J. Advanced Computational Intelligence and Intelligent Informatics, Vol.14, No.2, pp. 128-134, 2010.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 22, 2024