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Abstract #3067

Deformation Based Morphometry using Diffusion Tensor MRI (DTI) Data

Neda Sadeghi1, Cibu P. Thomas1,2,3, M. Okan Irfanoglu1,3, Amritha Nayaka1,3, Maria Grazia D'Angelo4, Filippo Arrigoni5, and Carlo Pierpaoli1

1Section on Quantitative Imaging and Tissue Sciences, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States, 2Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 3Henry Jackson Foundation, Bethesda, MD, United States, 4Functional Rehabilitation Unit - Neuromuscular Disorders, IRCCS E.Medea Institute, Bosisio Parini, Italy, 5Neuroimaging Lab, IRCCS E.Medea Institute, Bosisio Parini, Italy

Tensor based morphometry (TBM) is a class of deformation based morphometry (DBM) methods that is traditionally performed on T1-weighted images (T1W). Here, we investigate the sensitivity of TBM by comparing the results of TBM, based on T1W and diffusion tensor imaging (DTI) data in patients diagnosed with SPG11, a neurological condition with a known genetic basis. TBM based on T1W and diffusion data captured the volumetric changes along the corpus callosum,which is a known characteristic of SPG11 patients, but does not fully explain the disorder. In contrast, only DTI-TBM identified volumetric changes in several association and projection pathways suggesting greater sensitivity of DTI-TBM.

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