Title | ||
---|---|---|
White Matter Fiber Tracking Computation Based on Diffusion Tensor Imaging for Clinical Applications. |
Abstract | ||
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Fiber tracking allows the in vivo reconstruction of human brain white matter fiber trajectories based on magnetic resonance diffusion tensor imaging (MR-DTI),
but its application in the clinical routine is still in its infancy. In this study, we present a new software for fiber tracking,
developed on top of a general-purpose DICOM (digital imaging and communications in medicine) framework, which can be easily
integrated into existing picture archiving and communication system (PACS) of radiological institutions. Images combining
anatomical information and the localization of different fiber tract trajectories can be encoded and exported in DICOM and
Analyze formats, which are valuable resources in the clinical applications of this method. Fiber tracking was implemented
based on existing line propagation algorithms, but it includes a heuristic for fiber crossings in the case of disk-shaped
diffusion tensors. We successfully performed fiber tracking on MR-DTI data sets from 26 patients with different types of brain
lesions affecting the corticospinal tracts. In all cases, the trajectories of the central spinal tract (pyramidal tract) were
reconstructed and could be applied at the planning phase of the surgery as well as in intraoperative neuronavigation.
|
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/s10278-006-0773-7 | J. Digital Imaging |
Keywords | DocType | Volume |
magnetic resonance,anisotropy,diffusion tensor,algorithms,brain mapping,picture archiving and communication system | Journal | 20 |
Issue | ISSN | Citations |
1 | 0897-1889 | 3 |
PageRank | References | Authors |
0.51 | 1 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Paulo R Dellani | 1 | 26 | 3.50 |
Martin Glaser | 2 | 3 | 0.85 |
Paulo Roberto Wille | 3 | 3 | 0.85 |
Goran Vucurevic | 4 | 44 | 5.72 |
Axel T. Stadie | 5 | 7 | 1.73 |
Thomas Bauermann | 6 | 7 | 2.11 |
Andrei Tropine | 7 | 3 | 0.51 |
Axel Perneczky | 8 | 3 | 1.19 |
Aldo von Wangenheim | 9 | 209 | 49.44 |
Peter Stoeter | 10 | 74 | 10.09 |