An Interleaved Otsu Segmentation for MR Images with Intensity Inhomogeneity

Haoqi XIONG  Jingjing GAO  Chongjin ZHU  Yanling LI  Shu ZHANG  Mei XIE  

IEICE TRANSACTIONS on Information and Systems   Vol.E97-D    No.11    pp.2974-2978
Publication Date: 2014/11/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2014EDL8042
Type of Manuscript: LETTER
Category: Biological Engineering
intensity inhomogeneity,  bias field estimation,  Otsu segmentation,  energy minimization,  

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The MR image segmentation is always a challenging problem because of the intensity inhomogeneity. Many existing methods don't reach their expected segmentations; besides their implementations are usually complicated. Therefore, we originally interleave the extended Otsu segmentation with bias field estimation in an energy minimization. Via our proposed method, the optimal segmentation and bias field estimation are achieved simultaneously throughout the reciprocal iteration. The results of our method not only satisfy the required classification via its applications in the synthetic and the real images, but also demonstrate that our method is superior to the baseline methods in accordance with the performance analysis of JS metrics.