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Abstract #2154

Evaluation of diffusion MRI methods and fiber tracking algorithms for optimal imaging of the anterior visual pathway

Gurucharan Marthi Krishna Kumar1, Ziqi Hao1, Janine Mendola2, and Amir Shmuel1
1Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 2Department of Ophthalmology, McGill University, Montreal, QC, Canada

Synopsis

Keywords: Diffusion Acquisition, Diffusion/other diffusion imaging techniques, Anterior Visual Pathway

Motivation: Diffusion-weighted MRI of the anterior-visual-pathway (AVP) is challenging due to the small diameter of the optic nerve and susceptibility artifacts.

Goal(s): To compare the performance of diffusion MRI acquisition, tractography, reconstruction, and fiber-tracking methods in reconstructing the AVP.

Approach: The overlap between a mask based on track-density and the T1-weighted imaged AVP was used to evaluate the accuracy of the reconstruction.

Results: Readout segmented EPI (RESOLVE) and the combined use of Constant Solid Angle (CSA) reconstruction with Parallel Transport Tractography (PTT) scored best.

Impact: Our findings support an optimal selection of methods for imaging the AVP in clinical research and radiology clinics.

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Keywords