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Journal of Medical Systems

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01.06.2012 | ORIGINAL PAPER

ΤND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos

verfasst von: Eystratios G. Keramidas, Dimitris Maroulis, Dimitris K. Iakovidis

Erschienen in: Journal of Medical Systems | Ausgabe 3/2012

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Abstract

In this paper, we present a computer-aided-diagnosis (CAD) system prototype, named TND (Thyroid Nodule Detector), for the detection of nodular tissue in ultrasound (US) thyroid images and videos acquired during thyroid US examinations. The proposed system incorporates an original methodology that involves a novel algorithm for automatic definition of the boundaries of the thyroid gland, and a novel approach for the extraction of noise resilient image features effectively representing the textural and the echogenic properties of the thyroid tissue. Through extensive experimental evaluation on real thyroid US data, its accuracy in thyroid nodule detection has been estimated to exceed 95%. These results attest to the feasibility of the clinical application of TND, for the provision of a second more objective opinion to the radiologists by exploiting image evidences.

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Titel: ΤND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos
verfasst von: Eystratios G. Keramidas
Dimitris Maroulis
Dimitris K. Iakovidis
Publikationsdatum: 01.06.2012
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 3/2012
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-010-9588-7

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