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

Song, Ting; Lee, Vivian S.; Rusinek, Henry; Kaur, Manmeen; Laine, Andrew F.

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-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.


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Biomedical Engineering
Published Here
August 30, 2010


Medical image computing and computer-assisted intervention MICCAI 2005 : 8th international conference, Palm Springs, CA, USA, October 26-29, 2005 : proceedings, Lecture Notes in Computer Science, Volume 3750 (Berlin ; New York : Springer, 2005), pp. 205-213.