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Tytuł artykułu

Joint analysis of histological and ultrasonic images to lean state of thyroid gland

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Simultaneous analysis of histological and ultrasonic (US) images of human thyroid glands for thyroid cancer diagnostics is proposed in the paper. It allows to explain the characteristics of US pictures of the thyroid gland via the sizes of its follicles. To show the dependence of US image features on the state of follicles, statistical analysis of US-texture is performed. In addition, the size of follicles in histological images is calculated by analysis of a distance map for the nuclei of cells. It is shown that echogenicity of the thyroid gland in US images depends essentially on the size of its follicles. The organ regions that contain many follicles of a size smaller than the size of healthy follicles, or contain many destroyed follicles, have low echogenicity. The same effect is observed for regions with oversized follicles. This information can be used to avoid a surgical procedure, including histological analysis.
Rocznik
Strony
293--304
Opis fizyczny
Bibliogr. 16 poz., il., tab., wykr.
Twórcy
autor
autor
autor
autor
autor
  • United Institute of Informatics Problems of the National Academy of Sciences, Surganov str. 6, 220012, Minsk, Belarus, NedzvedA@newman.bas-net.by
Bibliografia
  • [1] Aivazyan S. A., Enukov I. C., Meshalkin L. D.: Applied statistics. Investigation of dependence. Finansy i Statistika, Moscow. (In Russian), 1985.
  • [2] Sahoo, P. K., Soltani, S., Wong, A. K. C., Chen, Y. C.: A survey of thresholding techniques. Computer Vision. Graphics, and Image processing, 41, 233-260, 1988.
  • [3] Webb S.: The physics of medical imaging. Taylor & Francis, 1988.
  • [4] Maier R.: Ultraschalldiagnostik der schilddruse. Schattauer, N. V., 1989.
  • [5] Hopkins C. R., Reading C. C.: Thyroid and parathyroid imaging. Semin. Ultrasound CT MR, 16(4), 279-295, 1995.
  • [6] Burges C.: A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining, 2(2), 121-167, 1998.
  • [7] Williams E. D., Abrosimov A., Bogdanova T. et al.: Guest editorial: two proposals regarding the terminology of thyroid tumors. Int. J. Surg. Pathol., 8, 181-183, 2000.
  • [8] Pratt W.: Digital image processing , 3ed. Wiley, 2001.
  • [9] Ablameyko S., Kirillov V., Lagunovsky D. et al.: From cell image segmentation to differential diagnosis of thyroid cancer. Proc. of 16th Intern. Conf. on Pattern Recognition, Quebec, Canada, 1, 763-766, 2002.
  • [10] Atkov O. Yu.: Basic trends of evolution of ultrasonic methods of diagnostics. Visualization in Clinic, 20, 4-8. (In Russian), 2002.
  • [11] Baloch Z. W., LiVolsi V. A.: Follicular-patterned lesions of the thyroid: the bane of the pathologist. Am. J. Surg. Pathol., 117, 143-150, 2002.
  • [12] Denham D. W., Angelos P.: The pathologist's role in the management of thyroid and parathyroid lesions: the surgeon's perspective. Pathology case reviews, 1(8), 16-21, 2003.
  • [13] Forsyth D. A., Ponce J.: Computer vision. A modern approach. Prentice Hall, 2003.
  • [14] Nedzved A. M., Belotserkovsky A. M.: The system of histological analysis of oncological diseases. Proc. 4th Int. Conf. on Information Processing and Control in Extreme Situations, Minsk, Belarus, 170-176, (in Russian), 2004.
  • [15] Nedzved A., Belotserkovsky A., Ablameyko S.: Computer systems of histology images analysis in Belarus. Annual Proceedings of Medical Sciences, Poland. “Trans Humana” University Press. 2(5), 23-25, 2004.
  • [16] Francoise B.-V. et al.: Three-dimensional organization of thyroid cells into follicle structures is a pivotal factor in the control of sodium/iodide symporter expression. Endocrinology, as doi: 10.1210, 2005-0805.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0031-0006
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