A semiautomatic method for rapid segmentation of velocity-encoded myocardial magnetic resonance imaging data.

Emil Knut Stenersen EspeKristine SkårdalJan Magnus AronsenLili ZhangIvar Sjaastad

Published in: Magnetic resonance in medicine (2016)

The proposed method reduced the segmentation time substantially and exhibited well-preserved data quality and excellent interobserver limits of agreement. Magn Reson Med 78:1199-1207, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Keyphrases

magnetic resonance
magnetic resonance imaging
deep learning
convolutional neural network
electronic health record
big data
contrast enhanced
computed tomography
left ventricular
machine learning
blood flow
heart failure
data analysis
quality improvement
quantum dots
loop mediated isothermal amplification