Xia Li1, Benoit Dawant2, E. Brian Welch1,3, A. Bapsi Chakravarthy4, Darla Freehardt4, Ingrid Mayer5, Mark Kelley6, Ingrid Meszoely6, John Gore1, Thomas Yankeelov1
1Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; 2Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA; 3Philips Healthcare; 4Radiation Oncology, Vanderbilt University, Nashville, TN, USA; 5Medical Oncology, Vanderbilt University, Nashville, TN, USA; 6Surgical Oncology, Vanderbilt University, Nashville, TN, USA
The analysis of dynamic contrast enhanced MRI provides relevant information on tumor status. We have proposed a method whereby the longitudinal breast DCE-MRI data sets are co-registered, thereby retaining spatial information so that DCE-MRI parameter maps can be compared on a voxel-by-voxel basis. We accomplished this by extending the adaptive bases algorithm through adding a tumor-volume preserving constraint in the cost function. The visual assessment shows the proposed algorithm can successfully register the breast MR images. In this study, a novel validation method is proposed here to simulate the deformation of the longitudinal breast MR images and verify different nonrigid registration algorithms accurately.