医学图像配准，医学图像2D_3D配准，基于vc++开发。-The registration of pre-operative volumetric datasets to

intra-operative two-dimensional images provides an im-

provedway of verifying patient positionandmedical instru-

ment location. In applications from orthopedics to neuro-

surgery, it has a great value in maintaining up-to-date in-

formation about changes due to intervention. We propose a

mutual information-based registration algorithm which es-

tablishes the proper alignment via a stochastic gradient as-

centstrategy. Ourmaincontributionliesinestimatingprob-

ability density measures of image intensities with a sparse

histogrammingmethodwhichcouldlead to potentialspeed-

up over existing registration procedures and deriving the

gradient estimates required by the maximization procedure.

Experimental results are presented on fluoroscopy and CT

datasets of a real skull, and on a CT-derived dataset of a

real skull, a plastic skull and a plastic lumbar spine seg-

ment.