摘要
目的开发了一种基于图像信息进行X线影像成像部位自动判定的方法。方法对于任意选定的输入临床X线数字影像,使用图像选择最佳阈值的边缘检测方法提取图像轮廓,并进行二值化处理,将图像轮廓同经过拼接获得的全身体模X线影像进行灰度相似性遍历检测。结果通过最优化判定,获得同输入影像相似的最佳匹配区域,并基于先验知识确定输入影像的成像部位。结论算法快速并具有较强的鲁棒性。
Objective Designed a method that can automaticaly distinguish the X-ray radiological positions based on image information.Methods For any selected input clinical X-ray digital images, we extract the image outline in the edge detection method using optimal threshold selection, then process binarization. After compared with the whole body phantom X-ray images, then process gray level similarity traverse detection.Results By optimizing the decision, the best matching region of the same inputfi lm was obtained, and the imaging part of the patient is determined based on prior knowledge.Conclusion The algorithm is fast and has a high degree of robust.
出处
《中国医疗器械杂志》
2016年第5期318-321,共4页
Chinese Journal of Medical Instrumentation
基金
泰山医学院磁共振成像与质量控制创新中心(ZD0101)
泰山医学院高层次课题(GCC003)
关键词
边缘检测
灰度值匹配
图像检索
图像匹配
edge detection
gray level matching
image retrieval
image matching
