Research on Registration Algorithm for Three-dimension Cardiac Electrical Maps / 航天医学与医学工程

ABSTRACT

Objective To align the mapping points from the locations of catheter electrodes with CT/MR image three-dimension data of the cardiac chamber. Methods Most of existing algorithms assumed that two spaces spanned respectively by mapping points and by CT/MR data were orthogonal, and thus modulated only 9 free-degrees of three-dimension translations, rotations and scaling for registration. However, our research showed that the above two spaces might be not always orthogonal. So we introduced affine transformation model based on 12 free-degrees and the corresponding iterative closest point algorithm to realize the registration and further incorporate the registration algorithm with the clinical operations. Combining with OpenGL, we realized the proposed algorithm via Visual C]+]+ 6.0 software. Results Simulation results showed that the residual registration errors on average were decreased from 40 pixels before registration to 1.5 pixels after registration. This algorithm was further validated in animal experiments. Conclusion This proposed three-dimension mapping registration algorithm well realizes the registration in three-dimension cardiac mapping and has practical application values.