Registration of MR and CT images of the liver: comparison of voxel similarity and surface based registration algorithms
The purpose of this work was to determine the feasibility and efficacy of retrospective registration of MR and CT images of the liver. The open-source ITK Insight Software package developed by the National Library of Medicine (USA) contains a multi-resolution, voxel-similarity-based registration algorithm which we selected as our baseline registration method. For comparison we implemented a multi-scale surface fitting technique based on the head-and-hat algorithm. Registration accuracy was assessed using the mean displacement of automatically selected point landmarks. The ITK voxel-similarity-based registration algorithm performed better than the surface-based approach with mean misregistration in the range of 7.78.4?mm for CTCT registration, 8.2?mm for MRMR registration, and 14.018.9?mm for MRCT registration compared to mean misregistration from the surface-based technique in the range of 9.611.1?mm for CTCT registration, 9.212.4?mm for MRMR registration, and 15.219.0?mm for MRCT registration.
liver magnetic resonance imaging computed tomography image registration