首页> 外文会议>2017 1st International Conference on Intelligent Systems and Information Management >Extraction of whole and torn meniscus in M.R.I. images and detection of meniscal tears
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Extraction of whole and torn meniscus in M.R.I. images and detection of meniscal tears

机译:在M.R.I.中提取整个和半月板的弯月面图像和半月板撕裂的检测

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摘要

Osteoarthritis has become a very rapidly spreading disorder of bones and joints among old people and young athletes indulging in sports such as soccer, hockey, etc. Injuries of the knee like tears in the meniscus can be seen very commonly in young athletes as well as the aged people. The Computer-Aided Diagnosis (CAD) systems help to a large extent and can play a major role in their detection. In this paper, we deal with the automatic region-of-interest location, extraction of the meniscus from the M.R.I. images of the knee joint and then assigning scores to the tears, if any, which can be used for quantification of the severity of tear. The proposed system was evaluated on a database of 34 individuals; and sensitivity and specificity were found to be 88% and 96% respectively. The results are encouraging and this system may prove to be a stepping stone in development of more sophisticated algorithms for detailed classification of the tears.
机译:骨关节炎已成为老年人和从事足球,曲棍球等体育活动的年轻运动员中非常迅速的骨骼和关节疾病。在半月板运动员中,膝关节如半月板的眼泪之类的损伤很常见。老年人。计算机辅助诊断(CAD)系统可以在很大程度上帮助您,并且可以在检测过程中发挥重要作用。在本文中,我们处理了感兴趣区域的自动定位,即从M.R.I.膝关节图像,然后为泪液分配分数(如果有的话),可用于量化泪液的严重程度。拟议系统在34个人的数据库中进行了评估;敏感性和特异性分别为88%和96%。结果令人鼓舞,并且该系统可能被证明是开发用于眼泪详细分类的更复杂算法的垫脚石。

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