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Research - DTI
Synopsis: Given that we have access to 3T and 7T scanners much time is spent in comparing the quality of scans. Much effort is expended in developing deformable tensor-based registration and understanding the variability between the tensors. This is a collaborative effort between NIH, Wright Center for Imaging (WCI), OSU and Computer Science, OSU.
People: 1. Okan Irfanoglu, CSE, OSU 2. Steffen Sammett, WCI and Radiology, OSU 3. Michael Knopp, WCI and Radiology, OSU 4. Carlo Pierpaoli, NIH
Representative Publications: 1. Automatic Deformable Diffusion Tensor Registration for Fiber Population Analysis (under review) 2. Variability Visualization of Diffusion Tensor Images (under review) 3. Quality Assessment and Noise Analysis for Diffusion Tensor Imaging, " International Society of Magnetic Resonance in Medicine (ISMRM) 2007, 19-25 May 2007. Representative Images: |
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(top) Variability along the main eigenvector. The ellipsoid symbolizes the Gaussian space of DTI. Scales of axes are proportional to eigen-values.
(below) Volume rendering of the FA map of the eigenvector corresponding to the largest eigen-value among all diffusion tensors. The main locations of variability are Corpus Collassum and the brain stem. |
