A Frequency Domain Technique for Range Data Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pseudopolar-based estimation of large translations, rotations, and scalings in images
IEEE Transactions on Image Processing
Rigid registration of renal perfusion images using a neurobiology-based visual saliency model
Journal on Image and Video Processing
Integrated four dimensional registration and segmentation of dynamic renal MR images
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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Dynamic contrast-enhanced 4-D MR renography has the potential for broad clinical applications, but suffers from respiratory motion that limits analysis and interpretation. Since each examination yields at least over 10-20 serial 3-D images of the abdomen, manual registration is prohibitively laborintensive. Besides in-plane motion and translation, out-of-plane motion and rotation are observed in the image series. In this paper, a novel robust and automated technique for removing out-of-plane translation and rotation with sub-voxel accuracy in 4-D dynamic MR images is presented. The method was evaluated on simulated motion data derived directly from a clinical patient's data. The method was also tested on 24 clinical patient kidney data sets. Registration results were compared with a mutual information method, in which differences between manually co-registered time-intensity curves and tested time-intensity curves were compared. Evaluation results showed that our method agreed well with these ground truth data.