医学图像配准，医学图像2D_3D配准，基于vc++开发。-Although the presence of local minima is one of the major

problems in high-dimensional image registration, only a few

experimental works have been carried out to address this problem. In

this study, a 3D-2D vascular image feature-based registration is done

by producing Digital Reconstructed Radiographs (DRRs) of 3D images

to match against the target 2D images. In addition, we propose a global

optimization method based on the use of Powell’s method at different

resolution levels. To search the global minimum as effectively as

possible, a large set of sample test points are systematically generated.

The values of dissimilarity to the registered images in lower resolution

environment are calculated. Powell’s method is then applied to those

test points with the lowest values for further minimization in the higher

resolution. It is experimentally shown that our method can identify the

global optimum in a normal clinical setting. The findings can have

potential usage in the rec