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Local White Matter Geometry from Diffusion Tensor Gradients
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Institution: |
1Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. 2Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA 3Department of Computer Science and Computation Institute, University of Chicago, Chicago, IL, USA |
Publisher: |
Elsevier Science |
Publication Date: |
Feb-2010 |
Journal: |
Neuroimage |
Volume Number: |
49 |
Issue Number: |
4 |
Pages: |
3175-3186 |
Citation: |
Neuroimage. 2010 Febr 15;49(4):3175-3186. |
PubMed ID: |
19896542 |
PMCID: |
PMC2818447 |
Keywords: |
Diffusion tensor imaging, Magnetic resonance imaging, Fiber geometry, Rotation tangents, Fiber dispersion, Fiber curving, Schizophrenia |
Appears in Collections: |
NA-MIC, LMI, NAC, NCIGT, PNL |
Sponsors: |
NIH R01 MH074794 NIH P41 RR13218 NIH U41 RR019703 NIH U54 EB005149 NIH R01 MH50740 NIH K05 MH070047 NIH P50 MH080272 NIH R01 MH082918 NIH R03 TW008134 Department of Veteran Affairs Merit Awards VA Schizophrenia Center Grant Center for Integration of Medicine and Innovative Technology Soldier in Medicine Award |
Generated Citation: |
Savadjiev P., Kindlmann G.L., Bouix S., Shenton M.E., Westin C-F. Local White Matter Geometry from Diffusion Tensor Gradients. Neuroimage. 2010 Febr 15;49(4):3175-3186. PMID: 19896542. PMCID: PMC2818447. |
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We introduce a mathematical framework for computing geometrical properties of white matter fibers directly from diffusion tensor fields. The key idea is to isolate the portion of the gradient of the tensor field corresponding to local variation in tensor orientation, and to project it onto a coordinate frame of tensor eigenvectors. The resulting eigenframe-centered representation then makes it possible to define scalar indices (or measures) that describe the local white matter geometry directly from the diffusion tensor field and its gradient, without requiring prior tractography. We derive new scalar indices of (1) fiber dispersion and (2) fiber curving, and we demonstrate them on synthetic and in vivo data. Finally, we illustrate their applicability to a group study on schizophrenia.
Additional Material
1 File (108.987kB)
Savadjiev-Neuroimage2009-fig8.jpg (108.987kB)