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Abstract #3379

Comparison of diffusion MRI data with different b-values in trigeminal nerve tracking with unscented Kalman filter tractography

Guoqiang Xie1,2, Fan Zhang2, Lorenz Epprecht3, Isaiah Norton2, Yogesh Rathi2, Alexandra J. Golby2, and Lauren J. O'Donnell2

1Nuclear Industry 215 Hospital of Shaanxi Province, Xianyang, China, 2Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 3Cantonal Hospital St. Gallen, St. Gallen, Switzerland

Diffusion MRI enables improved identification of the trigeminal nerve by tracking of its 3-D trajectory. To explore optimal methods for trigeminal nerve tracking using diffusion MRI, we compared tracking results from acquisitions with different b-values using single- and multi-fiber tractography methods. We found that the trigeminal nerve can be best tracked using b=3000 data with a two-tensor fiber model. We suggest that these settings can potentially be suitable for clinical applications, e.g., diagnosis and evaluation of trigeminal neuralgia.

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