AUTHOR=Decroocq Méghane , Des Ligneris Morgane , Poquillon Titouan , Vincent Maxime , Aubert Manon , Jacquesson Timothée , Frindel Carole 

TITLE=Automation of Cranial Nerve Tractography by Filtering Tractograms for Skull Base Surgery

JOURNAL=Frontiers in Neuroimaging

VOLUME=Volume 1 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/neuroimaging/articles/10.3389/fnimg.2022.838483

DOI=10.3389/fnimg.2022.838483

ISSN=2813-1193

ABSTRACT=Fiber tractography enables the in vivo reconstruction of white matter fibers in 3 dimensions, thereby helping to understand the functional neuroanatomy. In a pre-operative context, it provides essential information on the trajectory of fiber bundles of medical interest, such as cranial nerves. However, the optimization of tractography parameters is a time-consuming process which requires expert neuroanatomical knowledge, making the use of tractography difficult in clinical routine. Tractogram filtering is a methods used to isolate the most relevant fibers. In this work, we propose to use filtering as a post-processing of tractography to compensate for poorly optimized parameters and therefore making a step forward automation of tractography. To question the feasibility of automated tractography of cranial nerves, we perform an analysis of major cranial nerves on a series of patients with skull base tumors. A quantitative evaluation of the filtering performance of two state-of-the-art and a new entropy-based methods is carried out on the basis of reference tractograms produced by experts. Our approach proves to be more stable in the selection of the optimal filtering threshold and turns out to be interesting in terms of computational time complexity.