Description: 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
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