Deep learning-based acceleration of Compressed Sense MR imaging of the ankle.

Sarah C ForemanJan NeumannJessie HanNorbert HarrasserKilian WeissJohannes M PeetersDimitrios C KarampinosMarcus R MakowskiAlexandra S GersingKlaus Woertler

Published in: European radiology (2022)

• Prospective study showed that CSAI enables reduction in acquisition times by 47% without decreasing diagnostic image quality. • Reducing acquisition times by 63% still produces images with an acceptable diagnostic accuracy but should be reserved for specific patients. • CSAI may be implemented to scan at a higher resolution compared to standard CS images without increasing acquisition times.

Keyphrases

deep learning
image quality
convolutional neural network
end stage renal disease
computed tomography
ejection fraction
newly diagnosed
chronic kidney disease
artificial intelligence
machine learning
prognostic factors
magnetic resonance
single molecule
patient reported