Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors.
Qian YueXinzhe LuoQing YeLingchao XuXiahai ZhuangPublished in: MICCAI (2) (2019)
Keyphrases
- cardiac mri
- neural network
- intra subject
- brain scans
- magnetic resonance images
- brain structures
- shape prior
- medical images
- brain mri
- prior information
- automatic segmentation
- long axis
- mr imaging
- image segmentation
- magnetic resonance imaging
- medical imaging
- left ventricle
- accurate segmentation
- mr images
- segmentation method
- level set
- myocardial infarction
- image analysis
- mri images
- shape analysis
- subject specific
- intensity distribution
- tagged mri
- rigid registration
- heart wall
- brain tumors
- high resolution
- active contours
- shape model
- phase contrast
- segmentation algorithm
- tissue segmentation
- region growing
- affine registration
- statistical shape model
- brain tissue
- manual segmentation
- model based segmentation
- inter subject
- white matter
- nonrigid registration
- ct images
- beating heart
- mri data
- prostate segmentation
- shape variations
- fully automatic
- deformable models
- echocardiographic images
- active shape model
- graph cuts