Detection of Vertebral Mass and Diagnosis of Spinal Cord Compression in Computed Tomography With Deep Learning Reconstruction: Comparison With Hybrid Iterative Reconstruction.
Nana FujitaKoichiro YasakaYusuke WatanabeNaomasa OkimotoMao KonishiikeSusumu MoriPublished in: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes (2023)
Deep learning reconstruction improved the depiction of vertebral masses, which resulted in a tendency to improve the performance of CT compared to hybrid-IR in detecting vertebral masses and diagnosing spinal cord compression for some readers.
Keyphrases
- spinal cord
- deep learning
- computed tomography
- contrast enhanced
- image quality
- bone mineral density
- dual energy
- spinal cord injury
- neuropathic pain
- positron emission tomography
- magnetic resonance imaging
- artificial intelligence
- convolutional neural network
- machine learning
- ultrasound guided
- postmenopausal women
- fine needle aspiration
- body composition
- contrast enhanced ultrasound
- loop mediated isothermal amplification
- quantum dots