REC-NN: A reconstruction error compensation neural network for Magnetic Resonance Electrical Property Tomography (MREPT).
Ruian QinAdan Jafet Garcia IndaZhongchao ZhouYukihiro EnomotoTianyi YangNevrez ImamogluJosé Gómez-TamesShao Ying HuangWenwei YuPublished in: EMBC (2023)
Keyphrases
- magnetic resonance
- neural network
- error compensation
- image reconstruction
- mr images
- tomographic reconstruction
- medical images
- positron emission tomography
- image data
- brain images
- neural network model
- back propagation
- artificial neural networks
- image registration
- soft tissue
- mr brain images
- mr imaging
- brain image segmentation
- pattern recognition
- image volumes
- image slices
- mr brain
- high resolution
- structured light
- brain tumors
- three dimensional
- cardiac motion
- magnetic resonance imaging
- super resolution
- contrast enhanced
- respiratory motion
- multiple sclerosis
- multiresolution
- brain tumours
- computer vision