Automatic linear measurements of the fetal brain on MRI with deep neural networks.

Netanell AvisdrisBossmat YehudaOri Ben-ZviDaphna Link-SouraniLiat Ben-SiraElka MillerElena ZharkovDafna Ben BashatLeo Joskowicz

Published in: International journal of computer assisted radiology and surgery (2021)

The proposed automatic method for computing biometric linear measurements of the fetal brain from MR imaging achieves human-level performance. It has the potential of being a useful method for the assessment of fetal brain biometry in normal and pathological cases, and of improving routine clinical practice.

Keyphrases

neural network
clinical practice
resting state
white matter
functional connectivity
deep learning
contrast enhanced
endothelial cells
cerebral ischemia
machine learning
computed tomography
magnetic resonance
multiple sclerosis
risk assessment
diffusion weighted imaging
pluripotent stem cells