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Quantitative Evaluation of Humeral Head Defects by Comparing Left and Right Feature

机译:左右特征通过比较肱骨头缺陷的定量评估

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Humeral head (top of arm bone) defect has been diagnosed subjectively by physician. Therefore, it is required to develop a quantitative evaluation method of those defects. In this paper, we propose a quantitative diagnostic method for evaluating humeral head defects by comparing the shapes of the left and right humeral heads. The proposed method is composed of three steps. In the first step, the contour of humerus is extracted from a set of multi-slice CT images by using thresholding technique and active contour model. In the second step, the three-dimensional (3-D) surface model of humerus is reconstructed from extracted contours. In the third step, the reconstructed 3-D shape of left and right humerus is superimposed each other, and then the non-overlapped part is recognized as the defect part. This idea is based on the assumption that human bone structure is symmetrical each other. Finally, the shape of visualized defect part is analyzed by principal component analysis, and we consider that those obtained principal components and contributions represent the feature of the defect part. In this research, seven sets of shoulder multi-slice CT images are analyzed and evaluated.
机译:肱骨头(扶手骨头)缺陷已被医生主观诊断出来。因此,需要开发这些缺陷的定量评估方法。在本文中,我们提出了一种通过比较左右肱骨头的形状来评估肱骨头缺陷的定量诊断方法。所提出的方法由三个步骤组成。在第一步中,通过使用阈值技术和有源轮廓模型,通过使用阈值化技术和活动轮廓模型从一组多切片CT图像中提取肱骨的轮廓。在第二步中,从提取的轮廓重建肱骨的三维(3-D)表面模型。在第三步中,左右肱骨的重建的3-D形状彼此叠加,然后将非重叠部分被识别为缺陷部分。这个想法基于人骨结构彼此对称的假设。最后,通过主成分分析分析了可视化缺陷部分的形状,我们认为那些主要成分和贡献代表了缺陷部分的特征。在本研究中,分析并评估了七组肩部多切片CT图像。

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