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Comparison of Thyroid Segmentation Algorithms in Ultrasound and Scintigraphy Images

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 23
Year of Publication: 2012
Authors:
Jaspreet Kaur
Alka Jindal
10.5120/7959-0924

Jaspreet Kaur and Alka Jindal. Article: Comparison of Thyroid Segmentation Algorithms in Ultrasound and Scintigraphy Images. International Journal of Computer Applications 50(23):24-27, July 2012. Full text available. BibTeX

@article{key:article,
	author = {Jaspreet Kaur and Alka Jindal},
	title = {Article: Comparison of Thyroid Segmentation Algorithms in Ultrasound and Scintigraphy Images},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {23},
	pages = {24-27},
	month = {July},
	note = {Full text available}
}

Abstract

To integrate medical images and image processing, image segmentation plays an essential role. Image segmentation is an operation that separates the image into different segments. There are several image segmentation algorithms that are at present available. In this paper, three segmentation algorithms have been implemented and discussed namely: Active Contour without edges, Localized region Based active contour and Distance Regularized Level Set. To detect the thyroid disorders various imaging modalities are used: MRI, Scintigraphy, SPECT and Ultrasound. Out of these, Ultrasound Imaging and Scintigraphy have been discussed in this paper. The segmentation algorithms have been implemented on these two modalities to segment the thyroid gland.

References

  • Chuan-Yu Chang, Senior Member, IEEE, Yue-Fong Lei, Chin-Hsiao Tseng, and Shyang-Rong Shih, "Thyroid Segmentation and Volume Estimation in Ultrasound Images" , IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 57, NO. 6, JUNE 2010.
  • D. Selvathi , V. S. Sharnitha, "Thyroid Classification and Segmentation in Ultrasound Images Using Machine Learning Algorithms," Proceedings of 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN 2011).
  • T. F. Chan, L. A. Vessse,"Active Contours edges", IEEE tras. Image Processing, Feb. 2001, pp. 266-277.
  • Dimitris K. Iakovidis • Michalis A. Savelonas ,Stavros A. Karkanis and Dimitris E. Maroulis, " a genetically optimized level set approach to segmentation of thyroid ultrasound images," Published online: 16 June 2007 Springer Science+Business Media, LLC 2.
  • Chunming Li, Chiu-Yen Kao, John C. Gore, and Zhaohua Ding, "Minimization of Region Scalable Fitting Energy for Image Segmentation," IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 10, OCTOBER 2008.
  • D. Selvathi, V. S. Sharnitha, "Thyroid Classification and Segmentation in Ultrasound Images Using Machine Learning Algorithms," Proceedings of 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN 2011)
  • Chuan-Yu Chang and Chin-Hsiao Tseng et al "Thyroid Segmentation and Volume Estimation in Ultrasound Images" IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 57, NO. 6, JUNE 2010.
  • Shawn Lankton, Allen Tannenbaum,"Localizing Region- Based Active Contours", IEEE Transactions on Image Processing, Vol. 17, No. 11, November 2008.
  • Chunming Li, Chenyang Xu, Changfeng Gui, Martin D. Fox,"Distance Regularized Level Set Evolution and Its Application to Image Segmentation", IEEE Transactions on Image Processing, Vol. 19, No. 12, December 2010.
  • Peter LUKAC, Robert HUDEC, Miroslav BENCO,et al. "Simple Comparison of Image Segmentation", 978-1-61284-324-7/11 2011 IEEE