Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging.
Evan HannLuca BiasiolliQiang ZhangIulia A. PopescuKonrad WerysElena LukaschukValentina CarapellaJosé Miguel PaivaNay AungJennifer J. RaynerKenneth FungHenrike PuchtaMihir M. SanghviNiall O. MoonKatharine E. ThomasVanessa M. FerreiraSteffen E. PetersenStefan NeubauerStefan K. PiechnikPublished in: MICCAI (2) (2019)
Keyphrases
- quality control
- magnetic resonance
- automatic image analysis
- mr images
- image analysis
- mr imaging
- image segmentation
- cardiac imaging
- brain image segmentation
- clinical applications
- medical images
- image registration
- cardiac motion
- medical imaging
- machine vision
- image data
- cardiac cycle
- magnetic resonance images
- image processing
- positron emission tomography
- brain images
- manual segmentation
- mr brain images
- deformable models
- manufacturing systems
- nonrigid registration
- brain tumors
- left ventricular
- mri data
- computer vision
- mr brain
- pattern recognition
- left ventricle
- accurate segmentation
- automated visual inspection
- motion tracking
- patient specific
- region growing
- graph cuts
- prostate cancer
- heart disease
- magnetic resonance imaging
- high resolution
- level set
- real time
- segmentation algorithm
- computer aided
- quantitative evaluation
- imaging modalities