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Resolving crossings in the corticospinal tract by two-tensor streamline tractography: Method and clinical assessment using fMRI

Institution:
1Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, USA; University of Copenhagen, Denmark.
2University of Copenhagen, Denmark
3Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, USA
Publisher:
Neuroimage
Publication Date:
Aug-2009
Citation:
Neuroimage. 2009 Aug;47 Suppl 2:T98-106.
PubMed ID:
18657622
PMCID:
PMC2746909
Keywords:
Two-tensor tractography, Diffusion tensor imaging; , Crossing fibers, Corticospinal tract
Appears in Collections:
NAC, LMI, NCIGT
Sponsors:
NIH P41 RR13218
NIH R01 MH074794
NIH U41 RR019703
R03 MH076012
Brain Science Foundation
Generated Citation:
Qazi A, Radmanesh A, O'Donnell L, Kindlmann G, Peled S, Whalen S, Westin C, Golby A. Resolving crossings in the corticospinal tract by two-tensor streamline tractography: Method and clinical assessment using fMRI. Neuroimage. 2009 Aug;47 Suppl 2:T98-106. PMID: 18657622. PMCID: PMC2746909.
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An inherent drawback of the traditional diffusion tensor model is its limited ability to provide detailed information about multidirectional fiber architecture within a voxel. This leads to erroneous fiber tractography results in locations where fiber bundles cross each other. This may lead to the inability to visualize clinically important tracts such as the lateral projections of the corticospinal tract. In this report, we present a deterministic two-tensor eXtended Streamline Tractography (XST) technique, which successfully traces through regions of crossing fibers. We evaluated the method on simulated and in vivo human brain data, comparing the results with the traditional single-tensor and with a probabilistic tractography technique. By tracing the corticospinal tract and correlating with fMRI-determined motor cortex in both healthy subjects and patients with brain tumors, we demonstrate that two-tensor deterministic streamline tractography can accurately identify fiber bundles consistent with anatomy and previously not detected by conventional single-tensor tractography. When compared to the dense connectivity maps generated by probabilistic tractography, the method is computationally efficient and generates discrete geometric pathways that are simple to visualize and clinically useful. Detection of crossing white matter pathways can improve neurosurgical visualization of functionally relevant white matter areas.

Additional Material
1 File (129.628kB)
Qazi-Neuroimage2008-fig4.jpg (129.628kB)