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Four Dimensional MR Image Analysis of Dynamic Renography

Song, Ting; Lee, Vivian S.; Rusinek, Henry; Wong, Samson; Laine, Andrew F.

A novel four dimensional image analysis approach including registration and segmentation of dynamic contrast enhanced renal MR images is presented. This integrated method is motivated by the observation of the reciprocity between registration and segmentation in 4D time-series images. Fully automated Fourier-based registration with sub-voxel accuracy and semi-automated time-series segmentation were intertwined to improve the accuracy in a multi-step fashion. We have tested our algorithm on several real patient data sets. Clinical validation showed remarkable and consistent agreement between the proposed method and manual segmentation by experts.


More About This Work

Academic Units
Biomedical Engineering
Published Here
August 12, 2010


2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: New York, NY, 30 August-3 September 2006 (Piscataway, N.J.: IEEE, 2006), pp. 3134-3137.

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