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

Koichiro Yasaka, Tomoya Tanishima, Yuta Ohtake, Taku Tajima, Hiroyuki Akai, Kuni Ohtomo, Osamu Abe, Shigeru Kiryu

2022Neuroradiology12 citationsDOI

Topics & Concepts

MedicineNeuroradiologyStenosisMagnetic resonance imagingImage qualityNuclear medicineSagittal planeRadiologySpinal stenosisNeurologyArtificial intelligenceLumbarImage (mathematics)Computer sciencePsychiatryCervical and Thoracic MyelopathySpine and Intervertebral Disc PathologyScoliosis diagnosis and treatment
Deep learning reconstruction for the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI: comparison with 3T MRI without deep learning reconstruction | Litcius