Deep learning reconstruction for the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI: comparison with 3T MRI without deep learning reconstruction.

Koichiro YasakaTomoya TanishimaYuta OhtakeTaku TajimaHiroyuki AkaiKuni OhtomoOsamu AbeShigeru Kiryu

Published in: Neuroradiology (2022)

By using DLR, image quality and interobserver agreement in evaluations of neuroforaminal stenosis on 1.5T cervical spine MRI could be improved compared to 3T MRI without DLR.

Keyphrases

contrast enhanced
deep learning
magnetic resonance imaging
diffusion weighted imaging
image quality
computed tomography
magnetic resonance
artificial intelligence