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Improved Tractography Alignment Using Combined Volumetric and Surface Registration
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Institution: |
Martinos Center for Biomedical Imaging, MGH, Boston, MA, USA. lzollei@nmr.mgh.harvard.edu |
Publisher: |
Elsevier Science |
Publication Date: |
May-2010 |
Journal: |
Neuroimage |
Volume Number: |
51 |
Issue Number: |
1 |
Pages: |
206-13 |
Citation: |
Neuroimage. 2010 May 15;51(1):206-13. |
PubMed ID: |
20153833 |
PMCID: |
PMC2847021 |
Keywords: |
Tractography alignment, Volumetric registration, Diffusion imaging |
Appears in Collections: |
NA-MIC |
Sponsors: |
BIRN002 () funded by PHS HHS P41 RR14075 (RR) funded by NCRR NIH HHS R01 EB001550 (EB) funded by NIBIB NIH HHS R01 NS052585-01 (NS) funded by NINDS NIH HHS R01 RR16594-01A1 (RR) funded by NCRR NIH HHS R01 EB006758 (EB) funded by NIBIB NIH HHS U24 RR021382 (RR) funded by NCRR NIH HHS U54 EB005149 (EB) funded by NIBIB NIH HHS |
Generated Citation: |
Zöllei L., Stevens A., Huber K., Kakunoori S., Fischl B. Improved Tractography Alignment Using Combined Volumetric and Surface Registration. Neuroimage. 2010 May 15;51(1):206-13. PMID: 20153833. PMCID: PMC2847021. |
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Previously we introduced an automated high-dimensional non-linear registration framework, CVS, that combines volumetric and surface-based alignment to achieve robust and accurate correspondence in both cortical and sub-cortical regions (Postelnicu et al., 2009). In this paper we show that using CVS to compute cross-subject alignment from anatomical images, then applying the previously computed alignment to diffusion weighted MRI images, outperforms state-of-the-art techniques for computing cross-subject alignment directly from the DWI data itself. Specifically, we show that CVS outperforms the alignment component of TBSS in terms of degree-of-alignment of manually labeled tract models for the uncinate fasciculus, the inferior longitudinal fasciculus and the corticospinal tract. In addition, we compare linear alignment using FLIRT based on either fractional anisotropy or anatomical volumes across-subjects, and find a comparable effect. Together these results imply a clear advantage to aligning anatomy as opposed to lower resolution DWI data even when the final goal is diffusion analysis.
Additional Material
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