骨小梁显微图像参数自动提取在骨质疏松症中的应用

Application of bone trabecular micro-image parameter self-obtained in osteoporosis

目的:寻求一种骨小梁显微图像参数自动提取的方法并将之应用于骨质疏松症中。方法:采用计算机自动识别,在通用PC平台上改进,使骨小梁间隙能够自动识别,在处理的过程中对人机对话进行了改进,使之能处理原始图像不够完善的情况。结果:骨小梁数随年龄增加而逐渐减少,表明所形成的游离骨小梁随年龄增加逐渐被清除,计算机自动提取结果同临床分析相一致。结论:与以往研究方法相比的最大优点是细化处理的效果较好,并在自动提取时增进了人机对话,使准确性和智能化上得到了显著提高。

AIM:To find out a bone trabecular micro image parameter self obtained method and to apply it in osteoporosis. METHODS:With computer automatic recognition,improved on the PC platform,bone intertrabecular space could be recognized automatically.In the process of treatment,human machine dialogue was improved,which could dispose the situation of original unflawless image. RESULTS:The number of bone trabecula decreased with the age increased,which showed that free bone trabecula would be gradually cleared with the growth of human.It was consistent of results made by computer with clinical analysis. CONCLUSION:Compared with former investigation method,the biggest advantage of this study is the good effect of fine treatment,it also improves human machine dialogue,which significantly enhances its accuracy and intelligentification.