Abstract #3067

Deformation Based Morphometry using Diffusion Tensor MRI (DTI) Data

Neda Sadeghi¹, Cibu P. Thomas^1,2,3, M. Okan Irfanoglu^1,3, Amritha Nayaka^1,3, 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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