Presentations (Communicative Events)

Automatic 4-D Registration in Dynamic MR Renography

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.


More About This Work

Academic Units
Biomedical Engineering
Published Here
August 20, 2010


2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : Shanghai, China, 31 August-03 September 2005 (Piscataway, N.J. : IEEE, 2005), pp. 3067-3070.