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Probabilistic MRI Tractography of the Optic Radiation Using Constrained Spherical Deconvolution: A Feasibility Study

Author

Listed:
  • Jeremy C Lim
  • Pramit M Phal
  • Patricia M Desmond
  • Andrew D Nichols
  • Chris Kokkinos
  • Helen V Danesh-Meyer
  • Andrew H Kaye
  • Bradford A Moffat

Abstract

Background and Purpose: Imaging the optic radiation (OR) is of considerable interest in studying diseases affecting the visual pathway and for pre-surgical planning of temporal lobe resections. The purpose of this study was to investigate the clinical feasibility of using probabilistic diffusion tractography based on constrained spherical deconvolution (CSD) to image the optic radiation. It was hypothesized that CSD would provide improved tracking of the OR compared with the widely used ball-and-stick model. Methods: Diffusion weighted MRI (30 directions) was performed on twenty patients with no known visual deficits. Tractography was performed using probabilistic algorithms based on fiber orientation distribution models of local white matter trajectories. The performance of these algorithms was evaluated by comparing computational times and receiver operating characteristic results, and by correlation of anatomical landmark distances to dissection estimates. Results: The results showed that it was consistently feasible to reconstruct individual optic radiations from clinically practical (4.5 minute acquisition) diffusion weighted imaging data sets using CSD. Tractography based on the CSD model resulted in significantly shorter computational times, improved receiver operating characteristic results, and shorter Meyer’s loop to temporal pole distances (in closer agreement with dissection studies) when compared to the ball-and-stick based algorithm. Conclusions: Accurate tractography of the optic radiation can be accomplished using diffusion MRI data collected within a clinically practical timeframe. CSD based tractography was faster, more accurate and had better correlation with known anatomical landmarks than ball-and-stick tractography.

Suggested Citation

  • Jeremy C Lim & Pramit M Phal & Patricia M Desmond & Andrew D Nichols & Chris Kokkinos & Helen V Danesh-Meyer & Andrew H Kaye & Bradford A Moffat, 2015. "Probabilistic MRI Tractography of the Optic Radiation Using Constrained Spherical Deconvolution: A Feasibility Study," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-15, March.
  • Handle: RePEc:plo:pone00:0118948
    DOI: 10.1371/journal.pone.0118948
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    Cited by:

    1. Jonathan Ashmore & Hugh G Pemberton & William D Crum & Jozef Jarosz & Gareth J Barker, 2020. "Implementation of clinical tractography for pre-surgical planning of space occupying lesions: An investigation of common acquisition and post-processing methods compared to dissection studies," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-22, April.

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