Synthesis of T2-weighted images from proton density images using a generative adversarial network in a temporomandibular joint magnetic resonance imaging protocol.

Chena Lee Eun-Gyu Ha Yoon Joo Choi Kug Jin Jeon Sang-Sun Han

Published in: Imaging science in dentistry (2022)

The application of pT2 images for a TMJ MRI protocol useful for diagnosis, although the image quality of pT2 was not fully satisfactory. Further research is expected to enhance pT2 quality.

Keyphrases

magnetic resonance imaging
deep learning
image quality
convolutional neural network
contrast enhanced
computed tomography
optical coherence tomography
randomized controlled trial
magnetic resonance
machine learning
network analysis
quality improvement