Segmentation of cardiac infarction in delayed-enhancement MRI using probability map and transformers-based neural networks.
Erwan LecesneAntoine SimonMireille GarreauGilles Barone-RochetteCéline FouardPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- neural network
- brain scans
- medical images
- cardiac mri
- mr imaging
- magnetic resonance images
- long axis
- brain mri
- magnetic resonance imaging
- cardiac magnetic resonance
- mri images
- image analysis
- mr images
- segmentation method
- tagged mri
- cardiac mr images
- medical imaging
- myocardial infarction
- segmentation algorithm
- manual segmentation
- carotid artery
- brain tumors
- intra subject
- image segmentation
- partial volume
- tissue segmentation
- brain tumor segmentation
- intensity distribution
- mri data
- level set
- patient specific
- image enhancement
- region growing
- image processing
- blood pool
- energy function
- deformable models
- healthy volunteers
- probabilistic atlas
- fully automatic
- brain atlas
- short axis
- medical image analysis
- left ventricle
- left ventricular
- brain structures
- accurate segmentation
- maximum a posteriori
- phase contrast
- mri scans
- anatomical structures
- self organizing maps
- markov random field