Magnetic resonance-based eye tracking using deep neural networks

DeepMReye (camera-less solution) use CNN to reconstruct gaze position from MR signal of the eyeballs, see accuracy below:

Paradigms:

  1. fixations

  2. smooth pursuit on circular or star-shaped trajectories

  3. free viewing

Main arguments:

  1. eye tracking should be included in fMRI research even when viewing is not part of the central task -> insights in brain functions and behavioural readout during scanning

  2. MR compatible camera eye trackers track gaze position with high temporal and spatial resolution -> but need specialized equipment

  3. MR based camera-less deep learning solution based on MR eyeball signal data

papar

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