Similar MRI object retrieval based on modified contour to centroid triangulation with arc difference rate

Byung K. Jung, Sung Y. Shin, Wei Wang, Hyung-Do Choi, J. Pack
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引用次数: 2

Abstract

In this paper, we propose a new image retrieval method based on Sectored Contour to Centroid Triangulation (SCTCT) using distinctive shape feature, named Arc Difference Rate (ADR). We utilized Support Vector Machine (SVM) method as an extraction tool to extract suspicious tumor area as binary object image from the breast MRI. Therefore extracted 100 binary object images are used as test cases in the experimental study. The results from proposed method show the improvement in finding correct matches compare to the traditional SCTCT.
基于弧差率的改进等高线到质心三角剖分的相似MRI目标检索
本文提出了一种基于分割轮廓到质心三角剖分(SCTCT)的图像检索方法,该方法利用图像的独特形状特征,命名为Arc Difference Rate (ADR)。我们利用支持向量机(SVM)方法作为提取工具,从乳腺MRI中提取可疑肿瘤区域作为二值目标图像。因此,将提取的100幅二值目标图像作为实验研究的测试用例。结果表明,与传统的SCTCT相比,该方法在寻找正确匹配方面有了很大的提高。
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