Abstract #3357

Assessing local brain morphology changes with diffusion tensor-driven tensor based morphometry (D-TBM): Application to a genetic model of dysgenesis

Elizabeth B Hutchinson^1,2,3, Neda Sadeghi^1,2, Okan Irfanoglu^1,2,3, Mary Whitman^4,5, Michelle Delisle⁶, Elizabeth Engle^4,5,6,7,8, and Carlo Pierpaoli^1,2

¹Quantitative Medical Imaging Section, NIBIB, NIH, Bethesda, MD, United States, ²SQITS/NICHD, NIH, Bethesda, MD, United States, ³Henry M. Jackson Foundation, Bethesda, MD, United States, ⁴Opthamology, Harvard Medical School, Boston, MA, United States, ⁵Opthamology, Boston Children's Hospital, Boston, MA, United States, ⁶Neurology, Boston Children's Hospital, Boston, MA, United States, ⁷Neurology, Harvard Medical School, Boston, MA, United States, ⁸Howard Hughes Medical Institute, Chevy Chase, MD, United States

Brain volume registration using diffusion tensor information faithfully matches anatomic features that are not accessible to structural registration algorithms such as white matter tracts. Thus, inspection of the deformation fields from DT-based registration using TBM (D-TBM) is advantageous for revealing local morphometric differences when compared with conventional TBM. In this study, D-TBM was used to evaluate morphometric differences and heterogeneity of abnormalities in a mouse model of dysgenesis.

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