Active Contours Driven by Local Rayleigh Distribution Fitting Energy for Ultrasound Image Segmentation

Hui BI
Hui LI
Xuan SHA

IEICE TRANSACTIONS on Information and Systems   Vol.E101-D    No.7    pp.1933-1937
Publication Date: 2018/07/01
Publicized: 2018/02/08
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDP7344
Type of Manuscript: PAPER
Category: Image Recognition, Computer Vision
ultrasound image segmentation,  Rayleigh mixture model,  level set,  neighbor information,  

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The ultrasound image segmentation is a crucial task in many clinical applications. However, the ultrasound image is difficult to segment due to image inhomogeneity caused by the ultrasound imaging technique. In this paper, to deal with image inhomogeneity with considering ultrasound image properties the Local Rayleigh Distribution Fitting (LRDF) energy term is introduced into the traditional level set method newly. While the curve evolution equation is derived for energy minimization, and self-driven uterus contour is achieved on the ultrasound images. The experimental segmentation results on synthetic images and in-vivo ultrasound images present that the proposed approach is effective and accurate, with the Dice Score Coefficient (DSC) of 0.95 ± 0.02.