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Comparison of Thyroid Segmentation Algorithms in Ultrasound and Scintigraphy Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 50 - Number 23 |
| Year of Publication: 2012 |
| Authors: Jaspreet Kaur, Alka Jindal |
10.5120/7959-0924
|
Jaspreet Kaur, Alka Jindal . Comparison of Thyroid Segmentation Algorithms in Ultrasound and Scintigraphy Images. International Journal of Computer Applications. 50, 23 ( July 2012), 24-27. DOI=10.5120/7959-0924
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
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- 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.
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- 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.
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