Automatic segmentation of peripheral arteries and veins in ferumoxytol-enhanced MR angiography.

Vahid GhodratiYair RivensonAshley ProsperKevin de HaanFadil AliTakegawa YoshidaArash BedayatKim-Lien NguyenJ Paul FinnPeng Hu

Published in: Magnetic resonance in medicine (2021)

Our pipeline is capable of fully automatic vessel segmentation based on FE-MRA without need for human interaction in <4 min. This method improves upon manual segmentation by radiologists, which routinely takes several hours.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
endothelial cells
contrast enhanced
optical coherence tomography
computed tomography
magnetic resonance
inferior vena cava
pulmonary embolism
pluripotent stem cells
neural network