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27 March 2009Fiber-to-bundle registration of white matter tracts
Magnetic resonance diffusion tensor imaging (DTI) is being widely used to reconstruct brain white matter (WM) fiber
tracts. For further characterization of the tracts, the fibers with similar courses often need to be grouped into a fiber
bundle that corresponds to certain underlying WM anatomic structure. In addition, the alignments of fibers from different
studies are often desirable for bundle comparisons and group analysis.
In this work, a novel registration algorithm based on fiber-to-bundle matching was proposed to address the above two
needs. Using an Expectation Maximization (EM) algorithm, the proposed method is capable of estimating a Thin-Plate-
Spline transformation that optimally aligns whole-brain target fiber sets with a reference bundle model. Based on the
resulting transformations, the fibers from different target datasets can all be warped into the reference coordinate system
for comparisons and group analysis. The fibers can be further automatically labeled according to their similarity to the
reference model.
The algorithm was evaluated with eight human brain DTI data volumes acquired in vivo at 3T. After registration, the
warped target bundles exhibit good similarity to the reference bundles. Quantitative experiments further demonstrated
that the detected target bundles agree with ground truth obtained by manual segmentation at a sub-voxel accuracy.
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Qing Xu, Adam W. Anderson, John C. Gore, Zhaohua Ding, "Fiber-to-bundle registration of white matter tracts," Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72591D (27 March 2009); https://doi.org/10.1117/12.811620