Utility of accelerated T2-weighted turbo spin-echo imaging with deep learning reconstruction in female pelvic MRI: a multi-reader study.
Eun Ji LeeYoung Kon KimSuyeon ParkSung Hwan BaeJiyun LimYun-Woo ChangSeong Sook HongEunsun OhBo Da NamJewon JeongJae Kon SungDominik NickelPublished in: European radiology (2023)
• Conventional T2 turbo spin-echo based on parallel imaging has limitations for accelerated image acquisition while maintaining good image quality. • Deep learning image reconstruction showed better image quality in both images obtained using the same or accelerated image acquisition parameters compared with conventional T2 turbo spin-echo in female pelvic MRI. • Deep learning image reconstruction enables accelerated image acquisition while maintaining good image quality in the T2-TSE of female pelvic MRI.
Keyphrases
- deep learning
- image quality
- contrast enhanced
- computed tomography
- diffusion weighted imaging
- diffusion weighted
- artificial intelligence
- convolutional neural network
- dual energy
- magnetic resonance imaging
- magnetic resonance
- machine learning
- rectal cancer
- high resolution
- density functional theory
- single molecule
- photodynamic therapy
- mass spectrometry
- ionic liquid