DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning

• Published in: Applied sciences Vol. 9; no. 12; p. 2521
• Main Authors: Jin, Cheng-Bin, Kim, Hakil, Liu, Mingjie, Han, In Ho, Lee, Jae Il, Lee, Jung Hwan, Joo, Seongsu, Park, Eunsik, Ahn, Young Saem, Cui, Xuenan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 20.06.2019
• Subjects: adversarial training; dual cycle-consistent adversarial network; image cross-modality synthesis; lumbar spine; Medical imaging; Methods; Neural networks; NMR; Nuclear magnetic resonance; semi-supervised learning

Magnetic resonance imaging (MRI) plays a significant role in the diagnosis of lumbar disc disease. However, the use of MRI is limited because of its high cost and significant operating and processing time. More importantly, MRI is contraindicated for some patients with claustrophobia or cardiac pace...