Interobserver variability in quality assessment of magnetic resonance images.

Rafal ObuchowiczMariusz OszustAdam Piorkowski

Published in: BMC medical imaging (2020)

The agreement observed among radiologists from different imaging centers confirms the subjectivity of the perception of MR images. It was shown that the image content and severity of distortions affect the IQA. Furthermore, the study highlights the importance of the psychosomatic condition of the observers and their attitude.

Keyphrases

magnetic resonance
deep learning
convolutional neural network
artificial intelligence
optical coherence tomography
contrast enhanced
high resolution
magnetic resonance imaging
machine learning