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首页> 外文期刊>International Journal of Image Processing >A Geometrical Heuristic Image Processing Approach For The Automatic Detection & Quantification of Type-IV Crater Lesion Pathology In The Femoral Cartilage of The Human Knee
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A Geometrical Heuristic Image Processing Approach For The Automatic Detection & Quantification of Type-IV Crater Lesion Pathology In The Femoral Cartilage of The Human Knee

机译：一种几何启发式图像处理方法，可自动检测和定量人膝股骨软骨的IV型火山口病变病理

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The type-IV crater is a chondral lesion found in 5-10 percent of injured knees undergoing arthroscopy. The lesion is identified as a serious injury, being found predominantly in young adults, around 30 years of age, having the potential to quickly progress to osteoarthritis due to high load sporting activities typically pursued by this age group. In addition, pain and swelling often accompany larger lesions of this type, and it is recommended that treatment occurs as soon as possible while the lesion is well demarcated.The main limitation, in the quantification of type-IV crater volumes in 'real' human knees is that it is not possible to obtain the true volumes of the craters through a physical experimental measure and manual delineation is known to suffer from user error.We resolve this issue by performing extensive simulations of synthetic craters, of known radii and volume, within the femoral cartilage of 21 healthy knee joints to validate how a novel geometrical heuristic image processing approach can be used to detect type-IV crater lesions and quantify their volumes accurately in real-time from pre-segmented MR images which we compare to the standard manual delineation approach. We show that the mean %error in accuracy of our approach compared to the manual delineation approach for detecting and quantifying synthetic craters of 2-4 mm radii was significantly less (P
机译：IV型火山口是在进行关节镜检查的受伤膝盖的5-10％中发现的软骨损伤。病变被确定为严重伤害，主要在30岁左右的年轻人中发现，由于该年龄组通常从事高负荷运动，因此有可能迅速发展为骨关节炎。此外，这种类型的较大病变常伴有疼痛和肿胀，建议在病变明确标出后尽快进行治疗。主要限制是量化``真实''人的IV型火山口体积膝盖是不可能通过物理实验方法获得火山口的真实体积的，人工划界已知会受到用户错误的影响。我们通过对已知半径和体积的合成火山口进行广泛的模拟来解决此问题验证21个健康膝关节的股骨软骨，以验证如何使用新颖的几何启发式图像处理方法来检测IV型火山口病变并从预先分割的MR图像中实时准确地量化其体积，我们将其与标准手册进行了比较划定方法。我们显示，与检测和量化2-4 mm半径的合成弹坑的手工划界方法相比，我们的方法在准确性上的平均误差百分比（P

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