Best individual template selection from deformation tensor minimization

We study the influence of the choice of template in tensorbased morphometry. Using 3D brain MR images from 10 monozygotic twin pairs, we defined a tensor-based distance in the log-Euclidean framework [1] between each image pair in the study. Relative to this metric, twin pairs were found to be closer to each other on average than random pairings, consistent with evidence that brain structure is under strong genetic control. We also computed the intraclass correlation and associated permutation p-value at each voxel for the determinant of the Jacobian matrix of the transformation. The cumulative distribution function (cdf) of the p-values was found at each voxel for each of the templates and compared to the null distribution. Surprisingly, there was very little difference between CDFs of statistics computed from analyses using different templates. As the brain with least log-Euclidean deformation cost, the mean template defined here avoids the blurring caused by creating a synthetic im...

• Type: Conference
• Year: 2008
• Where: ISBI
• Authors: Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Agatha D. Lee, Marina Barysheva, Xavier Pennec, Katie McMahon, Matthew Meredith, Greig I. de Zubicaray, Margaret J. Wright, Arthur W. Toga, Paul M. Thompson
• Keywords: Brain Mr Images, ISBI 2008, Medical Imaging, Monozygotic Twin Pairs, Twin Pairs