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Segmentation and 3D Visualization of Pelvic Bone from CT Scan Images

机译:来自CT扫描图像的骨盆骨的分割和3D可视化

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Segmentation of the pelvic bone from computed tomography (CT) images is a challenging task as CT images are noisy, have wide inhomogeneities in the intensity distribution and its anatomical structure is quite complex. In this paper a framework is proposed to automatic segmentation and 3D visualization of the pelvic bone from computed tomography images to assist the physician to take medical decisions. Further, we have compared the results with the active contour based segmentation and the results are satisfactory. The CT data set used is PELVIX data set from OSIRIX. We have implemented the proposed segmentation frame work in MATLAB and the results are reported.
机译:从计算机断层扫描(CT)图像的骨盆骨的分割是一个具有挑战性的任务,因为CT图像噪声具有宽的不均匀性,并且其解剖结构非常复杂。在本文中,提出了一种框架,用于从计算机断层摄影图像自动分割和3D可视化,以帮助医生接受医学决策。此外,我们已经将结果与基于主动轮廓的分段进行了比较,结果令人满意。使用的CT数据集是从osix的骨盆数据集。我们已实施拟议的MATLAB分段框架工作,并报告结果。

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