Deep Learning for Synthetic CT from Bone MRI in the Head and Neck.
Sven BambachMai Lan HoPublished in: AJNR. American journal of neuroradiology (2023)
We have optimized a robust deep learning model for conversion of bone MR imaging to synthetic CT, which shows good performance and generalizability when trained on different hospitals, vendors, and MR imaging techniques. This approach shows promise for facilitating downstream image processing and adoption into clinical practice.
Keyphrases
- contrast enhanced
- deep learning
- magnetic resonance imaging
- computed tomography
- magnetic resonance
- clinical practice
- bone mineral density
- artificial intelligence
- convolutional neural network
- diffusion weighted imaging
- dual energy
- machine learning
- soft tissue
- bone loss
- healthcare
- big data
- bone regeneration
- image quality
- postmenopausal women
- electronic health record
- positron emission tomography
- body composition