Fluid Registration of Diffusion Tensor Images Using Information Theory
- 31 March 2008
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Medical Imaging
- Vol. 27 (4) , 442-456
- https://doi.org/10.1109/tmi.2007.907326
Abstract
We apply an information-theoretic cost metric, the symmetrized Kullback-Leibler (sKL) divergence, or J-divergence, to fluid registration of diffusion tensor images. The difference between diffusion tensors is quantified based on the sKL-divergence of their associated probability density functions (PDFs). Three-dimensional DTI data from 34 subjects were fluidly registered to an optimized target image. To allow large image deformations but preserve image topology, we regularized the flow with a large-deformation diffeomorphic mapping based on the kinematics of a Navier-Stokes fluid. A driving force was developed to minimize the J-divergence between the deforming source and target diffusion functions, while reorienting the flowing tensors to preserve fiber topography. In initial experiments, we showed that the sKL-divergence based on full diffusion PDFs is adaptable to higher-order diffusion models, such as high angular resolution diffusion imaging (HARDI). The sKL-divergence was sensitive to subtle differences between two diffusivity profiles, showing promise for nonlinear registration applications and multisubject statistical analysis of HARDI data.Keywords
This publication has 55 references indexed in Scilit:
- 3D pattern of brain atrophy in HIV/AIDS visualized using tensor-based morphometryNeuroImage, 2007
- Deformable registration of diffusion tensor MR images with explicit orientation optimizationMedical Image Analysis, 2006
- Diffusion indices on magnetic resonance imaging and neuropsychological performance in amnestic mild cognitive impairmentJournal of Neurology, Neurosurgery & Psychiatry, 2006
- Geodesic estimation for large deformation anatomical shape averaging and interpolationPublished by Elsevier ,2004
- Invertibility and transitivity analysis for nonrigid image registrationJournal of Electronic Imaging, 2003
- A Direct Approach to False Discovery RatesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2002
- Nonrigid registration of 3D tensor medical dataMedical Image Analysis, 2002
- Elastic Matching of Diffusion Tensor ImagesComputer Vision and Image Understanding, 2000
- A pyramid approach to subpixel registration based on intensityIEEE Transactions on Image Processing, 1998
- Deformable templates using large deformation kinematicsIEEE Transactions on Image Processing, 1996