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Novel features for classification of hydrocephalus and cerebral atrophy

机译:脑积水和脑萎缩分类的新功能

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Present radiologic diagnosis of hydrocephalus (HC) are still the main concern for most researchers in the area. This is due to the fact that clinical symptoms and radiographic image of both Hydrocephalus (HC) and Cerebral Atrophy (CA) have similar characters. In this paper, we propose to use two new features: Sulci-Ratio (SR) and Frontal and Occipital Horn Angle (FOHA) together with typical features: Evans Ratio, Frontal and Occipital Horn Ratio and Ventricular Angle to classify between HC and CA. The experimental results show that Sulci-Ratios of HC and CA are difference. So this kind of ratio can help a lot in differentiate between HC and CA. The use of these two new features makes an attractive improvement as compare to most recent researches in the field. Those researches are mainly focus on the Ventricular which makes it more difficult to distinguish between HC and CA from MRI images. The performance of our methods is improved by 59% of true positive rate, 36.8% of false positive rate and 66.1% of F-measure from the classification of HC. In classification of CA is improved by 36.8%, 59% and 36.6% respectively.
机译:目前脑积水(HC)的放射学诊断仍然是该地区大多数研究人员关注的主要问题。这是由于以下事实:脑积水(HC)和脑萎缩(CA)的临床症状和影像学特征相似。在本文中,我们建议使用两个新特征:Sulci-Ratio(SR)和额骨和枕骨角(FOHA)以及典型特征:Evans比,额骨和枕骨角比和心室角对HC和CA进行分类。实验结果表明,HC和CA的Sulci比率存在差异。因此,这种比率可以大大帮助区分HC和CA。与该领域的最新研究相比,这两个新功能的使用带来了引人注目的改进。这些研究主要集中在心室,这使得从MRI图像区分HC和CA变得更加困难。通过HC的分类,我们的方法的性能提高了59%的真实阳性率,36.8%的错误阳性率和66.1%的F-measure。 CA的分类分别提高了36.8%,59%和36.6%。

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