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

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

Purpose: Fetal brain Magnetic Resonance Imaging suffers from unpredictable and unconstrained fetal motion that causes severe image artifacts even with half-Fourier single-shot fast spin echo (HASTE) readouts. This work presents the implementation of a closed-loop pipeline that automatically detects...

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Bibliographic Details
Main Authors: Adalsteinsson, E. (Author), Frost, R. (Author), Gagoski, B. (Author), Golland, P. (Author), Grant, P.E (Author), Lo, W.-C (Author), Tisdall, M.D (Author), van der Kouwe, A. (Author), Wighton, P. (Author), Xu, J. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2022
Subjects:
Automated detection
Automated image quality assessment
Brain
Brain MRI
Convolution
Convolutional neural network
Convolutional neural networks
Degraded images
diagnostic imaging
female
Female
Fetal brain MRI
fetus
Fetus
Fourier
HASTE MRI with reacquisition
human
Humans
Image artefacts
image processing
Image Processing, Computer-Assisted
Image quality
Image quality assessment
Magnetic resonance imaging
Magnetic Resonance Imaging
motion
Motion
nuclear magnetic resonance imaging
Pipelines
pregnancy
Pregnancy
procedures
Scanning
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