The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Implementation of Fiber Tract Navigation
Abstract
OBJECTIVE: To implement fiber tracking in a common neuronavigation environment for routine clinical use to visualize major white matter tracts intraoperatively. METHODS: A single-shot, spin-echo diffusion weighted echo planar imaging sequence with six diffusion directions on a 1.5 T magnetic resonance scanner was used for diffusion tensor imaging. For three-dimensional (3-D) tractography, we applied a knowledge-based multiple volume of interest approach. Tracking was initiated in each voxel of the initial seed volume in retrograde and orthograde directions according to the direction of the major eigenvector by applying a tensor deflection algorithm. Tractography results were displayed as streamlines assigned direction encoding color. After selecting the fiber tract bundle of interest by defining inclusion and exclusion volumes, a 3-D object was generated automatically by wrapping the whole fiber tract bundle. This 3-D object was displayed along with other contours representing tumor outline and further functional data with the microscope heads-up display. RESULTS: In 16 patients (three cavernomas, 13 gliomas), major white matter tracts (pyramidal tract, n = 14; optic radiation, n = 2) were visualized intraoperatively with a standard navigation system. Three patients developed a postoperative paresis, which resolved in two in the postoperative course. Additional planning time for tractography amounted to up to 10 minutes. Comparing the tractography results with a fiber bundle generated on a different platform by applying a distortion-free sequence revealed a good congruency of the defined 3-D outlines in the area of interest. CONCLUSION: Fiber tract data can be reliably integrated into a standard neuronavigation system, allowing for intraoperative visualization and localization of major white matter tracts such as the pyramidal tract or optic radiation.
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Cites
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330
High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity
Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10268 · Cited by 1,548 · cited 1×
“Techniques that can resolve multiple axon directions within a single voxel (52) may solve the problem of white matter fiber crossings as well as white matter insertions into the cortex (53).”
BackgroundSpatial transformations of diffusion tensor magnetic resonance images
Alexander, D. C., Pierpaoli, C., Basser, P. J., & Gee, J. C. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.963816 · Cited by 610 · cited 1×
“Furthermore, measuring field maps describing the image distortion (2), or applying nonlinear registration and transformation algorithms (1), may also help in this respect.”
BackgroundDiffusion Tensor Imaging and Axonal Tracking in the Human Brainstem
Stieltjes, B., Kaufmann, W. E., van Zijl, P. C. M., Fredericksen, K., Pearlson, G. D., Solaiyappan, M., & Mori, S. (2001) · NeuroImage · doi:10.1006/nimg.2001.0861 · Cited by 492
Cited by
Tract profiles of white matter properties: automating fiber-tract quantification
Yeatman, J. D., Dougherty, R. F., Myall, N. J., Wandell, B. A., & Feldman, H. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049790 · Cited by 840
Intraoperative MRI-guided resection of glioblastoma multiforme: a systematic review
Kubben, P. L., ter Meulen, K. J., Schijns, O. E., ter Laak-Poort, M. P., van Overbeeke, J. J., & Santbrink, H. V. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70130-9 · Cited by 408
Three-dimensional microsurgical and tractographic anatomy of the white matter of the human brain
Fernández-Miranda, J. C., Rhoton, A. L., Álvarez-Linera, J., Kakizawa, Y., Choi, C., & de Oliveira, E. P. (2008) · Neurosurgery · doi:10.1227/01.neu.0000333767.05328.49 · Cited by 347
Mezger, U., Jendrewski, C., & Bartels, M. (2013) · Langenbeck's Archives of Surgery · doi:10.1007/s00423-013-1059-4 · Cited by 305
Kinoshita, M., Hashimoto, N., Goto, T., Kagawa, N., Kishima, H., Izumoto, S., Tanaka, H., Fujita, N., & Yoshimine, T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.041 · Cited by 176
Metadata
- Authors
- Nimsky, C., Ganslandt, O., & Fahlbusch, R.
- Venue
- Operative Neurosurgery
- Published
- 2006-04
- Volume
- 58
- Issue
- 1 Suppl
- Pages
- ONS-292-ONS-304
- ISSN
- 2332-4252 (ISSN-L)
- OpenAlex
- W2029064102
- Cited by
- 189
- References
- 5
- FWCI
- 10.33
- Type
- journal article
- Language
- en
- Open access
- closed
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