Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks.
Khosro BahramiIslem RekikFeng ShiDinggang ShenPublished in: MICCAI (1) (2017)
Keyphrases
- mr images
- medical images
- accurate segmentation
- convolutional neural networks
- magnetic resonance images
- brain tumors
- magnetic resonance
- brain mr images
- partial volume
- bias field
- brain structures
- tissue segmentation
- manual segmentation
- mr imaging
- mr brain
- mri data
- intensity distribution
- dice similarity coefficient
- brain mri
- positron emission tomography
- mr brain images
- cardiac magnetic resonance
- brain tissue
- intensity inhomogeneity
- magnetic resonance imaging
- computer tomography
- contrast enhanced
- brain segmentation
- medical imaging
- nonrigid registration
- automated segmentation
- mri images
- image data
- model based segmentation
- prostate cancer
- anatomical structures
- image intensity
- medical image analysis
- atlas construction
- imaging modalities
- prostate segmentation
- deformable models
- level set
- inter patient
- cerebrospinal fluid
- brain images
- segmentation method
- lesion segmentation
- high resolution
- image reconstruction
- breast mri
- multiple sclerosis
- human brain
- carotid artery
- motion tracking