CSAIL Event Calendar: Previous Series
2D-3D Rigid-Body Registration of X-Ray Fluoroscopy and CT Images
Speaker: Lilla Zöllei , Medical Vision Group - MIT AI Laboratory
The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an improved way of verifying patient position and medical instrument location. In applications from orthopedics to neurosurgery, it has a great value in maintaining up-to-date information about changes due to intervention. We propose a mutual information-based registration algorithm to establish the proper alignment. For optimization purposes, we compare the performance of the non-gradient Powell method and two slightly different versions of a stochastic gradient ascent strategy: one using a sparsely sampled histogramming approach and the other Parzen windowing to carry out probability density approximation. Registration results are presented on fluoroscopy and CT datasets of a plastic pelvis and a real skull, and on a high-resolution CT-derived simulated datasets.