Automated detection and reacquisition of motion-degraded images in fetal HASTE imaging at 3 T.

Borjan A Gagoski Junshen Xu Paul Wighton M Dylan Tisdall Robert Frost Wei-Ching Lo Polina Golland André J W van der Kouwe Elfar Adalsteinsson Patricia Ellen Grant

Published in: Magnetic resonance in medicine (2021)

The proposed acquisition/reconstruction pipeline was shown to successfully identify and automatically reacquire only the motion degraded fetal brain HASTE slices in the prescribed stack. This minimizes the overall time spent on HASTE acquisitions by avoiding the need to repeat the entire stack if only few slices in the stack are motion-degraded.

Keyphrases

deep learning
high speed
high resolution
machine learning
convolutional neural network
white matter
high throughput
resting state
optical coherence tomography
multiple sclerosis
brain injury
cerebral ischemia
blood brain barrier
mass spectrometry