一种快速、自动的人脑MR图像三维刚性配准方法

F. O. Favretto, F. Bergo, A. Falcão
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引用次数: 4

摘要

图像配准是医学成像领域的一个重要问题。受试者内部刚性注册需要计算的参数集最小,对于没有明显运动或变形的器官(如人脑)来说,这已经足够了。刚性配准也被用作主体间可变形配准之前的第一步。本文提出了一种快速、自动的人脑磁共振图像三维刚性配准方法。该方法结合以往的矢状面定位和脑分割方法,采用贪婪搜索算法寻找源图像和目标图像之间的最佳匹配。我们在200对图像上评估了这种方法:100对没有结构异常,100对有人为造成的病变,这样就有可能量化配准误差。该方法在几秒钟内实现了非常精确的配准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fast and Automatic Method for 3D Rigid Registration of MR Images of the Human Brain
Image registration is an important problem with several applications in medical imaging. Intra-subject rigid registration requires a minimal set of parameters to be computed, and is sufficient for organs with no significant movement or deformation, such as the human brain. Rigid registration has also been used as the first step before inter-subject deformable registration. In this paper we present a fast and automatic method for 3D rigid registration of magnetic resonance images of the human brain. The method combines previous approaches formid-sagittal plane location and brain segmentation with a greedy-search algorithm to find the best match between source and target images. We evaluated the method on 200 image pairs: 100 without structural abnormalities and 100 with artificially created lesions, such that it was possible to quantify the registration errors. The method achieved very accurate registration within a few seconds.
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