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    • 7. 发明申请
    • CRANIAL SUTURE SNAKE ALGORITHM
    • CRANIAL SUTURE SNAKE算法
    • WO2011116004A3
    • 2013-02-28
    • PCT/US2011028539
    • 2011-03-15
    • GEORGIA TECH RES INSTHERMANN CHRISTOPHER DOUGLASBOYAN BARBARA DALESCHWARTZ ZVI
    • HERMANN CHRISTOPHER DOUGLASBOYAN BARBARA DALESCHWARTZ ZVI
    • G06K9/34
    • G06T7/0083G06T7/12G06T7/136G06T7/149G06T2207/10081G06T2207/20116G06T2207/30008
    • The invention is directed toward methods for assisting in interpreting medical images, especially useful for segmenting images produced by computed tomography or micro-computed tomography. In one embodiment, the invention is directed to method comprising initially identifying the images of the bones from a medical image, estimating a preliminary boundary of the bones, and subsequently segmenting the bones using a snake algorithm initialized by the preliminary boundary of the bones. The results can then be used to establish morphometric measurements from the medical images based on the segmented bone boundaries. In one embodiment of the present invention, the snake algorithm used is a continuous parametric Fourier series representation to fit and optimize the preliminary boundary of the bones to a more accurate representation of the segmented bone boundary from the data included in the image.
    • 本发明涉及用于辅助解释医学图像的方法,特别对于分割由计算机断层摄影或微型计算机断层摄影产生的图像尤其有用。 在一个实施例中,本发明涉及一种方法,其包括首先从医学图像识别骨骼的图像,估计骨骼的初步边界,并且随后使用由骨骼的初步边界初始化的蛇算法来分割骨骼。 然后可以将结果用于基于分割的骨边界从医学图像建立形态测量。 在本发明的一个实施例中,所使用的蛇算法是连续的参数傅立叶级数表示,以适应和优化骨骼的初步边界,以从包括在图像中的数据更精确地表示分割的骨边界。