仿射变换下图像不对称度计算方法

Image Asymmetry Computing Algorithm Using Affine Transformation

一个人的器官如果比其他人出现了更多的不对称,就可能是一种疾病的征兆。根据不对称性原理,提出了一种改进的三维医学图像不对称计算模型,通过对中耳区域三维医学图像不对称度的研究,给出了不对称度量化的数值计算优化方法,从而来诊断胆脂瘤型中耳炎。实验结果与医生的诊断之比较表明,利用T分布检验方法诊断胆脂瘤的置信度可达到98%。同时该计算模型具有客观性和可度量性,在其他可利用不对称性进行计算机辅助诊断领域具有较好的推广价值。

It might be a sign of pathology when an organ of a person appears more asymmetric than others. Based on mathematically asymmetric theory, an improved asymmetric computing model of 3-D medical image was presented, and a numerical method and computing framework were studied. The method can be used to diagnose cholesteatomatous chronic otitis media by numerical experiments. Compared with the doctors＇ diagnosis, the ratio of the numerical diagnosis of patients＇ cholesteatoma confidence is up to 98 percent by testing of T distribution method. The asymmetry computing model has both measurable and objective properties so that it can be extended to other computer-assisted diagnosis related to medical asymmetry.