Myocardium segmentation in strain-encoded (SENC) magnetic resonance images using graph-cuts.
Ahmed O. Al-AgamyNael F. OsmanAhmed S. FahmyPublished in: IET Image Process. (2013)
Keyphrases
- magnetic resonance images
- brain mri
- mr images
- accurate segmentation
- medical images
- brain scans
- partial volume
- brain tumors
- cardiac mri
- medical imaging
- tissue segmentation
- mri images
- manual segmentation
- multiple sclerosis lesions
- bias field
- intra subject
- brain structures
- magnetic resonance imaging
- white matter
- myocardial motion
- brain tissue
- intensity distribution
- mri data
- gray matter
- mr imaging
- short axis
- brain mr images
- brain atlas
- automatic segmentation
- diffusion tensor
- high resolution
- left ventricular
- medical image analysis
- partial volume effects
- segmentation algorithm
- magnetic resonance
- corpus callosum
- anatomical structures
- human brain
- diffusion weighted
- brain tumor segmentation
- region growing
- level set
- image analysis
- segmentation method
- image segmentation