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SYSTEMS AND METHODS FOR AUTOMATED SEGMENTATION OF INDIVIDUAL SKELETAL BONES IN 3D ANATOMICAL IMAGES

机译:在3D解剖图像中自动分割个体骨骼的系统和方法

摘要

To provide systems and methods for automated segmentation of individual skeletal bones in 3D anatomical images.SOLUTION: Presented herein, in certain embodiments, are approaches for robust bone splitting and segmentation in the context of small animal imaging, for example, microCT imaging. In certain embodiments, a method for calculating and applying single and hybrid second-derivative splitting filters to gray-scale images and binary bone masks is described. These filters can accurately identify the split lines/planes of the bones even for low-resolution data, and hence accurately morphologically disconnect the individual bones. The split bones can then be used as seeds in region growing techniques such as marker-controlled watershed segmentation. With this approach, the bones can be segmented with much higher robustness and accuracy compared with prior art methods.SELECTED DRAWING: Figure 8
机译:提供在3D解剖图像中自动分割单个骨骼的系统和方法。解决方案:在某些实施例中,本文提出的是在小动物成像(例如microCT成像)的背景下进行稳健的骨分裂和分割的方法。在某些实施例中,描述了一种用于将单个和混合的二阶导数分裂滤波器计算和应用到灰度图像和二进制骨掩模的方法。即使对于低分辨率数据,这些过滤器也可以准确识别骨骼的分割线/平面,因此可以在形态上准确地断开各个骨骼的连接。然后,可以在区域生长技术(例如标记控制的分水岭分割)中将劈开的骨头用作种子。与现有技术方法相比,使用这种方法可以对骨骼进行分割,并具有更高的鲁棒性和准确性。选定的图:图8

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