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Morphologic field warping: a volumetric deformation method for medical image registration

机译:形态场弯曲:用于医学图像配准的体积变形方法

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An automated method is proposed for anatomic standardization that elastically map one subject's MR image to a standard reference MR image to enable inter-subject and cross-group studies. In this method, linear transformations based on bicommissural stereotaxy are first applied to grossly align the input image to the reference image. Then, an active contour model is employed to refine the contour and surface description of the input image. Based on the contour and surface correspondence established in these previous steps, a non-linear transformation is determined using the proposed weighted local reference coordinate systems to warp the input image. In this method, geometric correspondence established based on contour matching is used to control the warping and the actual image values corresponding to registered coordinates need not be similar. We tested this algorithm on various synthetic and real images for inter-subject registration of MR images.
机译:提出了一种用于解剖学标准化的自动化方法,该方法将一个受试者的MR图像弹性映射到标准参考MR图像,以实现受试者间和跨组研究。在此方法中,首先应用基于双合一立体定位的线性变换将输入图像与参考图像大致对齐。然后,使用主动轮廓模型来细化输入图像的轮廓和表面描述。基于这些先前步骤中建立的轮廓和表面对应关系,使用建议的加权局部参考坐标系确定非线性变形,以使输入图像变形。在这种方法中,基于轮廓匹配建立的几何对应关系用于控制变形,并且与注册坐标对应的实际图像值不必相似。我们在各种合成图像和真实图像上对该算法进行了测试,以用于MR图像的主体间配准。

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