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Automated Visualization of Femoral and Acetabular Cartilages In MR Images of the Hip

机译:髋关节MR图像中股骨和髋臼软骨的自动可视化

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摘要

Visualization of the hip cartilages is clinically useful for clinicians and orthopedic surgeons. In this research, we propose a multi step technique for segmentation and thickness-map visualization of the femoral and acetabular cartilages based on clinically obtained multi-slice Tl-weighted MR data. We first propose a technique for bone segmentation based on vector quantization technique and femoral head center estimation. Next, we localize the hip joint space center-line by employing anatomical constraint and a customized double thresholding technique. We then segment the hip joint cartilages roughly using a Top-hat filter on first derivative images. We next utilize the articular-space center-line to segment the acetabular and femoral head cartilages. We finally apply a method for thickness measurement based on extermum points found from images enhanced by directional derivative filters. The feasibility of the proposed techniques is evaluated in the presence of 40 hips including 2400 MR images.
机译:髋关节软骨的可视化在临床上对临床医生和整形外科医生有用。在这项研究中,我们提出了一种基于临床获得的多层T1加权MR数据的股骨和髋臼软骨分割和厚度图可视化的多步技术。我们首先提出一种基于矢量量化技术和股骨头中心估计的骨分割技术。接下来,我们通过采用解剖学约束和定制的双阈值化技术来定位髋关节空间中心线。然后,我们在一阶导数图像上使用礼帽过滤器粗略地分割髋关节软骨。接下来,我们利用关节间隙中心线分割髋臼和股骨头软骨。我们最终基于从由定向导数滤波器增强的图像中找到的极值点应用厚度测量方法。在包括2400张MR图像在内的40个髋关节存在的情况下,评估了提出的技术的可行性。

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