Auto detection of brain ventricles using Hausdorff distance

K. Sim, M. K. Ong, S. S. Chong, J. Ng, C. Tso, S. Choo, A. H. Rozalina
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Abstract

Brain plays an important role in human anatomy. The brain ventricular system can often be affected by different kinds of brain lesion, to the extent of creating an imbalance problem in the brain system. Hence, it is useful to develop a method to check the brain condition and to detect the existence of ventricles as well. A template of the ventricle is first created. Then ventricle detection in a slice of brain scan is done by using the Hausdorff distance. The presence of ventricles is smoothed by a median filter. Then, the ventricles are split into left and right halves through the computed centroid. Ratio is calculated to detect the brain abnormality. Result showed that 50% of the patients were detected accurately based on the ventricles.
利用豪斯多夫距离自动检测脑室
大脑在人体解剖学中起着重要的作用。脑室系统经常会受到不同类型的脑部病变的影响,以至于在大脑系统中产生不平衡问题。因此,开发一种检查大脑状况和检测脑室存在的方法是有用的。首先创建心室的模板。然后利用豪斯多夫距离在脑扫描切片中进行心室检测。心室的存在被中值滤波器平滑。然后,通过计算的质心将心室分成左右两半。计算比值以检测脑异常。结果显示,50%的患者的脑室诊断率准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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