Application of a deep learning algorithm for three-dimensional T1-weighted gradient-echo imaging of gadoxetic acid-enhanced MRI in patients at a high risk of hepatocellular carcinoma.
Jae Hyun KimJeong Hee YoonSe Woo KimJunghoan ParkSeong Hwan BaeJeong Min LeePublished in: Abdominal radiology (New York) (2023)
Implementing DLRA can enhance the image quality in 3D T1-weighted gradient-echo sequences of gadoxetic acid-enhanced liver MRI examinations, leading to improved detection of viable post-treatment HCCs.
Keyphrases
- contrast enhanced
- diffusion weighted imaging
- image quality
- computed tomography
- diffusion weighted
- deep learning
- magnetic resonance imaging
- magnetic resonance
- dual energy
- machine learning
- high resolution
- convolutional neural network
- label free
- loop mediated isothermal amplification
- combination therapy
- replacement therapy
- mass spectrometry