方法提出一种基于自由变形模型的多模态医学图像的非刚性配准的方法。
Method A non-rigid registration method of multimodal medical images based on Free Form Deformation(FFD) was proposed.
图像的配准方法有多种，它们可以分为刚性和弹性配准两大类。
There are two categories of methods for image registration: rigid and elastic.
本文首先研究了基于多模态刚性图像配准的图像定位系统的有关设计和实现。
Firstly, we researched the design and implementation of the image guided localization system based on multimodality image registration.
结果我们把此方法应用于CT和MR图像的三维刚性配准，取得了较好的配准效果。
RESULTS We applied this method to the 3d rigidity registration of CT and MR and achieved good result.
医学图像非刚性的配准在医学诊断和治疗计划中起着重要的作用，学者们为此提出了各种非刚性配准算法。
Non_rigid registration plays an important role in medical diagnosis and therapy scheme. Scholars bring forward of algorithms many kinds.
新增图像配准算法插件：基于灰度的3D刚性配准算法的实现；
NEW Intensity-based 3D Rigid Registration plugin: implement the intensity-based 3D rigid registration algorithm;
新增图像配准算法插件：基于灰度的3D刚性配准算法的实现；
NEW Intensity-based 3D Rigid Registration plugin: implement the intensity-based 3D rigid registration algorithm;
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