Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis
Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis
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DOI：
10.5220/0004498301850192
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发表时间：
2018-07
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通讯作者：
J. Czajkowska
中科院分区：
文献类型：
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作者：
J. Czajkowska
本文介绍了一种基于模糊模型的新算法，用于 MR 系列中的 3-D 骨肿瘤分割。所提出的分割过程基于改进的模糊连通性方法。使用模糊推理系统来估计所需的模糊亲和度值，该系统的模糊隶属函数是基于分析图像区域的高斯混合模型构建的。 3-D 模糊肿瘤模型是使用单次检查期间获得的不同 MR 模式生成的。原型系统的分割能力已经在 MR 数据库上进行了测试，该数据库由 27 个检查组成，每个检查由两个不同的序列组成。
In this paper, a new fuzzy model based algorithm for 3-D bone tumour segmentation in MR series is introduced. The presented segmentation procedure is based on a modified fuzzy connectedness method. The there required fuzzy affinity values are estimated using a fuzzy inference system, whose fuzzy membership functions are structured on the basis of gaussian mixture model of analyzed image regions. The 3-D fuzzy tumour model is generated using different MR modalities acquired during a single examination. The segmentation abilities of prototype system have been tested on a MR database consisting of 27 examinations composed of two different sequences each.