Automatic 4-D Registration in Dynamic MR Renography Based on Over-Complete Dyadic Wavelet and Fourier Transforms

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 labor-intensive. 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-ofplane 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 timeintensity curves were compared. Evaluation results showed that our method agreed well wi...

• Type: Conference
• Year: 2005
• Where: MICCAI
• Authors: Ting Song, Vivian S. Lee, Henry Rusinek, Manmeen Kaur, Andrew F. Laine
• Keywords: 4-d Dynamic Mr, Clinical Patient, Contrast-enhanced 4-d Mr, Medical Imaging, MICCAI 2005