Deep Regression Segmentation for Cardiac Bi-Ventricle MR Images.
Xiuquan DuWeiwei ZhangHeye ZhangJun ChenYanping ZhangJames WarringtonGary BrahmShuo LiPublished in: IEEE Access (2018)
Keyphrases
- mr images
- cardiac magnetic resonance
- short axis
- manual segmentation
- mr imaging
- left ventricle
- accurate segmentation
- medical images
- magnetic resonance
- brain mr images
- mri data
- brain tumors
- magnetic resonance images
- partial volume
- mr brain
- intensity inhomogeneity
- dice similarity coefficient
- deformable models
- mr brain images
- brain structures
- mri images
- fully automatic
- bias field
- region of interest
- heart motion
- image data
- intensity distribution
- left ventricular
- automated segmentation
- contrast enhanced
- automatic segmentation
- phantom images
- tissue segmentation
- nonrigid registration
- medical image analysis
- quantitative measurements
- segmentation algorithm
- inhomogeneity correction
- ct images
- model based segmentation
- brain mri
- magnetic resonance imaging
- cardiac motion
- pre operative
- cerebrospinal fluid
- brain tissue
- prostate cancer
- coronary artery
- clinical applications
- imaging modalities
- patient specific
- image intensity
- inter patient
- computed tomography