%0 Journal Article
%T Thorax multimodal medical image registration based on adaptive free-form deformation and gradient descent<br>基于自适应自由变形法和梯度下降法的胸部多模医学图像配准*
%A LI Bin
%A OU Shan-xing
%A TIAN Lian-fang
%A YU Xia
%A <br>李彬
%A 欧陕兴
%A 田联房
%A 余霞
%J 计算机应用研究
%D 2009
%I 
%X In order to realize the automatic registration of thorax multimodal medical images, this paper proposed an image registration method based on hierarchical adaptive free-form deformation and gradient descent. Firstly, extracted the edge of thorax by GVF Snake algorithm and Canny operator, and matched feature points automatically. Then, modeled the global coarse registration of thorax multimodal medical images by principal axes algorithm. Finally, realized the local fine registration of thorax multimodal medical images by a free-form deformation(FFD) based on hierarchical B-splines. Moreover, generated the FFD parameters apidly by gradient descent and maximization of mutual information. Experiments demonstrate the good performance of the proposed method.
%K adaptive free-form deformation
%K multimodal image registration
%K hierarchical B-spline
%K gradient descent
%K maximization of mutual information<br>自适应自由变形法
%K 多模图像配准
%K 层次B样条
%K 梯度下降
%K 最大互信息熵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A55ACE911FC6AD134AA3B68EECC58AD3&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=EC8C1236CDC1A02F&eid=6BAA4FE592E63DC8&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=13