Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning.
Gowtham MurugesanFang Frank YuMichael AchilleosJohn DeBevitsSahil S NalawadeChandan GaneshBenjamin C WagnerAnanth J MadhuranthakamJoseph A MaldjianPublished in: AJNR. American journal of neuroradiology (2024)
We developed a novel deep learning architecture to synthesize virtual postcontrast enhancement by using only conventional noncontrast brain MR images. Our results demonstrate the potential of deep learning methods to reduce the need for gadolinium contrast in the evaluation of primary brain tumors.
Keyphrases
- deep learning
- contrast enhanced
- diffusion weighted
- magnetic resonance imaging
- convolutional neural network
- magnetic resonance
- computed tomography
- artificial intelligence
- dual energy
- diffusion weighted imaging
- machine learning
- white matter
- resting state
- multiple sclerosis
- optical coherence tomography
- human health
- risk assessment
- cerebral ischemia