Diffusion MRI tractography for neurosurgery: the basics, current state, technical reliability and challenges

Phys Med Biol. 2021 Jul 22;66(15). doi: 10.1088/1361-6560/ac0d90.

Abstract

Diffusion magnetic resonance imaging (dMRI) tractography is currently the only imaging technique that allows for non-invasive delineation and visualisation of white matter (WM) tractsin vivo,prompting rapid advances in related fields of brain MRI research in recent years. One of its major clinical applications is for pre-surgical planning and intraoperative image guidance in neurosurgery, where knowledge about the location of WM tracts nearby the surgical target can be helpful to guide surgical resection and optimise post-surgical outcomes. Surgical injuries to these WM tracts can lead to permanent neurological and functional deficits, making the accuracy of tractography reconstructions paramount. The quality of dMRI tractography is influenced by many modifiable factors, ranging from MRI data acquisition through to the post-processing of tractography output, with the potential of error propagation based on decisions made at each and subsequent processing steps. Research over the last 25 years has significantly improved the anatomical accuracy of tractography. An updated review about tractography methodology in the context of neurosurgery is now timely given the thriving research activities in dMRI, to ensure more appropriate applications in the clinical neurosurgical realm. This article aims to review the dMRI physics, and tractography methodologies, highlighting recent advances to provide the key concepts of tractography-informed neurosurgery, with a focus on the general considerations, the current state of practice, technical challenges, potential advances, and future demands to this field.

Keywords: diffusion MRI; fibre tracking; neurosurgery; reliability; tractography.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Diffusion Magnetic Resonance Imaging
  • Diffusion Tensor Imaging
  • Magnetic Resonance Imaging
  • Neurosurgery*
  • Reproducibility of Results