A Fully Automated Two-Stage Segmentation Approach for Late Gadolinium-Enhanced Cardiac Magnetic Resonance Images in Personalized Cardiac Modeling.
Yutong SunShiwei LuChongshang ZhaoYanqiu FengWufan ChenLing XiaDongdong DengPublished in: CinC (2023)
Keyphrases
- fully automated
- magnetic resonance images
- cardiac mri
- fully automatic
- myocardial infarction
- manual segmentation
- brain mri
- left ventricle
- myocardial motion
- mr imaging
- intra subject
- medical images
- automated segmentation
- left ventricular
- partial volume
- brain scans
- mr images
- mri data
- brain tumors
- medical imaging
- multiple sclerosis lesions
- tissue segmentation
- magnetic resonance imaging
- carotid artery
- brain tissue
- patient specific
- mri images
- image analysis
- bias field
- brain structures
- intensity distribution
- white matter
- semi automatic
- medical image analysis
- wall motion
- brain tumor segmentation
- diffusion tensor
- brain mr images
- gray matter
- level set
- image processing
- high resolution
- ct images
- human brain
- magnetic resonance
- anatomical structures
- inter subject
- coronary artery