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.
多模态医学图像的配准在医学诊断和治疗计划中起着重要的作用。
Multimodality medical image registration has important applications in clinical diagnosis and therapy planning.
为了实现多模态医学图像的配准融合，提出一种加快寻优的医学图像互信息配准算法实现CT和MR图像的配准。
A new medical image mutual information registration method, which can speedup the optimized process is proposed for CT and MR medical image auto rigid registration.
为了准确、可靠地配准多模态医学图像，提出了一种基于互信息的全局优化配准算法。
A global optimization method based on mutual information is proposed for multimodality medical image registration.
为了准确、可靠地配准多模态医学图像，提出了一种基于互信息的全局优化配准算法。
A global optimization method based on mutual information is proposed for multimodality medical image registration.
应用推荐