Abstract #3379

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

Guoqiang Xie^1,2, 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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