NDLI: Computational Characterization of Thyroid Tissue in the Radon Domain

Content Provider	IEEE Xplore Digital Library
Author	Savelonas, M.A. Iakovidis, D.K. Dimitropoulos, N. Maroulis, D.
Copyright Year	2007
Description	Author affiliation: Univ. of Athens, Athens (Savelonas, M.A.; Iakovidis, D.K.)
Abstract	This paper investigates a novel computational approach to thyroid tissue characterization in ultrasound images. It is based on the hypothesis that tissues in thyroid ultrasound images may be differentiated by directionality patterns. These patterns may not be always distinguishable by the human eye because of the dominant image noise. The encoding of the directional patterns in the thyroid ultrasound images is realized by means of radon transform features. A representative set of ultrasound images, acquired from 66 patients was constructed to perform experiments that test the validity of the initial hypothesis. Supervised classification experiments showed that the proposed approach is capable of discriminating normal and nodular thyroid tissues, whereas nodular tissues can be further characterized as of high or low malignancy risk.
Starting Page	189
Ending Page	192
File Size	259433
Page Count	4
File Format	PDF
ISBN	0769529054
ISSN	10637125
DOI	10.1109/CBMS.2007.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-20
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging Biomedical imaging Telecommunication computing Medical diagnostic imaging Image coding Testing Glands Ultrasonography Biomedical informatics Humans
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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