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Snake-based approach for segmenting pedicles in radiographs and its application in three-dimensional vertebrae reconstruction

机译:基于蛇的射线照相椎弓根分割方法及其在三维椎骨重建中的应用

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A gradient vector flow (GVF) snake based method was proposed for pedicle segmentation in vertebral radiographs. Since pedicles were oval-shaped, the elliptical shape prior was used to constrain the evolution of the GVF snake. From segmented pedicles, some landmarks were automatically identified for 3D stereoradiographic reconstruction of vertebrae to reduce the observer variability. Ten radiographs including 260 pedicles were used to evaluate the segmentations. Results demonstrated that the distance between contours manually delineated by the user and those segmented by the proposed algorithm was far less than the distance resulted from the traditional GVF snake. The 3D reconstruction variance was reduced by using the landmarks obtained from the segmented pedicles. These results indicated that utilizing the elliptical shape prior improved the GVF snake for segmenting pedicles in radiographs, and the proposed method might be a useful preprocessing tool for 3D stereoradiographic reconstruction.
机译:提出了一种基于梯度矢量流(GVF)蛇形的方法,用于椎骨X线片中的椎弓根分割。由于椎弓根是椭圆形的,因此先验的椭圆形被用来限制GVF蛇的进化。从分割的椎弓根中,可以自动识别一些界标,以进行椎骨的3D立体放射照相重建,以减少观察者的变异性。十张X射线照片(包括260个椎弓根)被用于评估分割。结果表明,由用户手动描绘的轮廓与由所提出的算法分割的轮廓之间的距离远小于传统GVF蛇所产生的距离。通过使用从分割的椎弓根获得的界标,减少了3D重建方差。这些结果表明,利用椭圆形状先于GVF蛇改进了X线照片中的椎弓根分割方法,并且所提出的方法可能是3D立体射线照相重建的有用预处理工具。

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