A Robust Medical Image Registration Algorithm Based on the SAM of Multi-Scale Harris Corners

Abstract

To make up for the lack of concern on spatial information in conventional mutual information based image registration framework, this paper designs a novel registration algorithm based on the SAM information of multi-scale Harris corners (CSAM for short). First, the multi-scale contour is extracted, and multi-scale Harris corner detector is added to acquire the estimated transform parameters; and then CSAM is regarded as Similarity Measure function, several optimized match points are obtained, the finally registration parameters are resolved by using least squares method. This algorithm realizes registration of medical images with noise and multiresolutions, further more, it only matches corners and doesn’t need optimal searching, so it has reduced calculate time and avoided local extremum. Experimental results on clinical CT and T1-weighted MR images demonstrate that, as compared with the conventional mutual information based method, the proposed method consistently completes much higher precision, faster speed and better robustness. Keywords-image registration; square root arithmetic mean divergence(SAM); Harris corner; multi-scale