A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents.
Anirudh ChandrashekarAshok HandaNatesh ShivakumarPierfrancesco LapollaVicente GrauRegent LeePublished in: CoRR (2020)
Keyphrases
- contrast enhanced
- deep learning
- computed tomography
- mr images
- magnetic resonance
- contrast agent
- contrast enhancement
- image reconstruction
- mri data
- intraoperative
- ct data
- carotid artery
- nonrigid registration
- deformation field
- unsupervised learning
- patient data
- heart disease
- ct images
- medical images
- mental models
- pre operative
- machine learning
- medical imaging
- image enhancement
- weakly supervised
- image data
- automatic segmentation
- magnetic resonance imaging
- ct scans
- computer assisted
- image guided
- model selection
- natural images
- color images
- three dimensional
- decision making
- computer vision
- data mining