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Proceedings Paper

Semi-automatic elastic registration on thyroid gland ultrasonic image
Author(s): Xia Xu; Yue Zhong; Yan Luo; Deyu Li; Jiangli Lin
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Paper Abstract

Knowledge of in vivo thyroid volume has both diagnostic and therapeutic importance and could lead to a more precise quantification of absolute activity contained in the thyroid gland. However, the shape of thyroid gland is irregular and difficult to calculate. For precise estimation of thyroid volume by ultrasound imaging, this paper presents a novel semiautomatic minutiae matching method in thyroid gland ultrasonic image by means of thin-plate spline model. Registration consists of four basic steps: feature detection, feature matching, mapping function design, and image transformation and resampling. Due to the connectivity of thyroid gland boundary, we choose active contour model as feature detector, and radials from centric points for feature matching. The proposed approach has been used in thyroid gland ultrasound images registration. Registration results of 18 healthy adults' thyroid gland ultrasound images show this method consumes less time and energy with good objectivity than algorithms selecting landmarks manually.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678916 (14 November 2007); doi: 10.1117/12.750448
Show Author Affiliations
Xia Xu, Sichuan Univ. (China)
Yue Zhong, Sichuan Univ. (China)
Yan Luo, Sichuan Univ. (China)
Deyu Li, Beihang Univ. (China)
Jiangli Lin, Sichuan Univ. (China)

Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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