Semi-automated myocardial segmentation of T1-mapping cardiovascular magnetic resonance images using deformable non-rigid registration from CINE images.
Nadia A. FarragJames A. WhiteEranga UkwattaPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Keyphrases
- magnetic resonance images
- mr images
- accurate segmentation
- mri images
- semi automated
- medical images
- myocardial motion
- short axis
- partial volume
- magnetic resonance
- mri data
- left ventricular
- brain mr images
- brain tumors
- brain scans
- brain mri
- tissue segmentation
- image data
- manual segmentation
- medical imaging
- mr imaging
- contrast enhanced
- magnetic resonance imaging
- bias field
- atlas based segmentation
- deformable models
- cardiac mr
- mr brain images
- brain tissue
- nonrigid registration
- brain structures
- segmentation method
- intensity distribution
- segmentation algorithm
- image analysis
- image registration
- deformable surface
- white matter
- heart disease
- medical image analysis
- anatomical structures
- imaging modalities
- partial volume effects
- fully automated
- fully automatic
- three dimensional
- inter subject
- automatic segmentation
- input image
- rigid registration
- diffusion tensor
- left ventricle
- image segmentation
- intraoperative
- region growing
- b spline