Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks.
Yijie FangWei LiXiaojun ChenKeming ChenHan KangPengxin YuRongguo ZhangJianwei LiaoGuobin HongShao-Lin LiPublished in: European radiology (2020)
• Deep learning can perform accurate fully automated segmentation of lumbar vertebral body in CT images. • The average BMDs obtained by deep learning highly correlates with ones derived from QCT. • The deep learning-based method could be helpful for clinicians in opportunistic osteoporosis screening in spinal or abdominal CT scans.
Keyphrases
- deep learning
- convolutional neural network
- image quality
- dual energy
- computed tomography
- contrast enhanced
- artificial intelligence
- bone mineral density
- postmenopausal women
- machine learning
- positron emission tomography
- magnetic resonance imaging
- spinal cord
- minimally invasive
- high resolution
- body composition
- spinal cord injury
- palliative care
- mass spectrometry