Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging.
Andreas KoflerMarkus HaltmeierTobias SchaeffterMarc KachelrießMarc DeweyChristian WaldChristoph KolbitschPublished in: CoRR (2019)
Keyphrases
- inverse problems
- medical imaging
- neural network
- image reconstruction
- medical images
- global optimization
- regularization methods
- convex optimization
- image analysis
- x ray
- image registration
- medical image processing
- regularization method
- image processing and analysis
- anatomical structures
- medical image analysis
- optimization methods
- imaging modalities
- image processing
- ct images
- image segmentation
- image guided
- optimization problems
- pattern recognition
- morphological image analysis
- computer vision
- partial differential equations
- volumetric data
- biomedical engineering
- remote sensing
- image guided surgery
- genetic algorithm
- early vision
- computationally expensive
- mutual information
- machine learning
- total variation
- smoothness constraint
- simulated annealing
- denoising