Semi-automatic elastic registration on thyroid gland ultrasonic image

Xia Xu; Yue Zhong; Yan Luo; Deyu Li; Jiangli Lin

doi:10.1117/12.750448

14 November 2007 Semi-automatic elastic registration on thyroid gland ultrasonic image

Xia Xu, Yue Zhong, Yan Luo, Deyu Li, Jiangli Lin

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 678916 (2007) https://doi.org/10.1117/12.750448
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Xia Xu, Yue Zhong, Yan Luo, Deyu Li, and Jiangli Lin "Semi-automatic elastic registration on thyroid gland ultrasonic image", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678916 (14 November 2007); https://doi.org/10.1117/12.750448

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