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首页> 外文会议>IEEE International Conference on Fuzzy Systems >Automated Extraction Method of Bone Tunnel after the Anterior Cruciate Ligament Reconstruction from a Knee MDCT Image by using Fuzzy Inference
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Automated Extraction Method of Bone Tunnel after the Anterior Cruciate Ligament Reconstruction from a Knee MDCT Image by using Fuzzy Inference

机译：用模糊推理从膝关节MDCT图像中旋转韧带重建后的骨隧道自动提取方法

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The anterior cruciate ligament (ACL) plays important role as a preventing excessive anterior movement of the knee. When the ACL is injured, ACL reconstruction is often performed. In ACL reconstruction, bone tunnels of the femur and tibia are made for passing graft to the bone. It is reported that the bone tunnel is usually enlargement. The bone tunnel enlargement affects much knee function. In serious case, ACL reconstruction should be required again. Therefore evaluation of the bone tunnel is important. However, it has not been analyzed in 3D image, because the bone tunnel is unclear at distal region in MDCT image. To overcome this problem, this study proposed extraction method with fuzzy inference. As a result, our proposed method could detect bone tunnel region. Then, the bone tunnel enlargement was examined. A future work is to specify the enlarge part within the extract volume.
机译：前十字架韧带（ACL）作为防止膝盖的过度前部运动起着重要作用。当ACL受伤时，通常进行ACL重建。在ACL重建中，股骨和胫骨的骨隧道被使移植物传递到骨骼。据报道，骨隧道通常是放大。骨隧道扩大影响了很多膝关节功能。在严重情况下，应再次需要ACL重建。因此，对骨隧道的评估很重要。然而，它尚未在3D图像中分析，因为骨隧道在MDCT图像中不清楚远端区域。为了克服这个问题，这项研究提出了模糊推理的提取方法。结果，我们提出的方法可以检测骨隧道区域。然后，检查骨隧道扩大。未来的工作是在提取卷中指定放大部分。

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