Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT
This work evaluates current 3-D image registration tools on clinically acquired abdominal computed tomography (CT) scans. Thirteen abdominal organs were manually labeled on a set of 100 CT images, and the 100 labeled images were pairwise registered based on intensity information with six registration tools (FSL, ANTS-CC, ANTS-QUICK-MI, IRTK, NIFTYREG, and DEEDS). The results suggest that DEEDS yielded the best registration performance. All data and source code are available.