Automated myocardial segmentation of extra-cellular volume mapping cardiac magnetic resonance images using fully convolutional neural networks.
Nadia A. FarragSathvik BhagavanDavid SebbenPoojani RuwanpuraJames A. WhiteEranga UkwattaPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Keyphrases
- magnetic resonance images
- myocardial motion
- brain mri
- mri scans
- convolutional neural networks
- medical images
- brain mapping
- partial volume
- mri images
- cardiac mri
- mr images
- medical imaging
- brain scans
- brain tumors
- short axis
- intra subject
- tissue segmentation
- multiple sclerosis lesions
- mri data
- magnetic resonance imaging
- left ventricular
- brain structures
- accurate segmentation
- bias field
- white matter
- brain tissue
- myocardial infarction
- mr imaging
- tagged mri
- magnetic resonance
- intensity distribution
- cerebrospinal fluid
- manual segmentation
- fully automatic
- brain mr images
- medical image analysis
- left ventricle
- high resolution
- anatomical structures
- gray matter
- level set
- brain tumor segmentation
- image segmentation
- x ray
- diffusion weighted
- diffusion tensor
- phase contrast
- wall motion
- partial volume effects
- segmentation algorithm
- segmentation method
- model based segmentation
- image analysis
- automatically segmenting
- cardiac motion
- image data
- diffusion tensor imaging
- three dimensional
- computer vision