Preoperative diffusion tensor imaging: Fiber‐trajectory‐distribution‐based tractography to identify facial nerve in vestibular schwannoma

• Published in: Magnetic resonance in medicine 2024-10, Vol.92 (4), p.1755-1767
• Main Authors: Hu, Qiming, Li, Mingchu, Li, Mengjun, Zeng, Qingrun, Yu, Jiangli, Wang, Xu, Xia, Ze, Xie, Lei, Zhang, Jiawei, Huang, Jiahao, Liang, Jiantao, Chen, Ge, Wu, Xiaolong, Feng, Yuanjing
• Format: Article
• Language: English
• Subjects: Cost analysis; Differential equations; diffusion MRI; Distribution functions; Facial nerve; Fiber orientation; fiber trajectory distribution function; Fibers; Image processing; Image reconstruction; Kalman filters; Magnetic resonance imaging; Medical imaging; Nerves; Orientation behavior; Parameter estimation; Qualitative analysis; Reconstructive surgery; Schwann cells; Tensors; tractography; Trajectory analysis; vestibular schwannoma; Vestibular system; Visual pathways; Visual perception
• ISSN: 0740-3194; 1522-2594; 1522-2594
• DOI: 10.1002/mrm.30160

Purpose Tractography of the facial nerve based on diffusion MRI is instrumental before surgery for the resection of vestibular schwannoma, but no excellent methods usable for the suppression of motion and image noise have been proposed. The aim of this study was to effectively suppress noise and provide accurate facial nerve reconstruction by extend a fiber trajectory distribution function based on the fourth‐order streamline differential equations. Methods Preoperative MRI from 33 patients with vestibular schwannoma who underwent surgical resection were utilized in this study. First, T1WI and T2WI were used to obtain mask images and regions of interest. Second, probabilistic tractography was employed to obtain the fibers representing the approximate facial nerve pathway, and these fibers were subsequently translated into orientation information for each voxel. Last, the voxel orientation information and the peaks of the fiber orientation distribution were combined to generate a fiber trajectory distribution function, which was used to parameterize the anatomical information. The parameters were determined by minimizing the cost between the trajectory of fibers and the estimated directions. Results Qualitative and visual analyses were used to compare facial nerve reconstruction with intraoperative recordings. Compared with other methods (SD_Stream, iFOD1, iFOD2, unscented Kalman filter, parallel transport tractography), the fiber‐trajectory‐distribution‐based tractography provided the most accurate facial nerve reconstructions. Conclusion The fiber‐trajectory‐distribution‐based tractography can effectively suppress the effect of noise. It is a more valuable aid for surgeons before vestibular schwannoma resection, which may ultimately improve the postsurgical patient's outcome.