Optimization of hepatic vasculature segmentation from contrast-enhanced MRI, exploring two 3D Unet modifications and various loss functions.
Oleksandra V. IvashchenkoZhiwei ZhaiBerend C. StoelTheodoor Jacques Marie RuersPublished in: Medical Imaging: Image-Guided Procedures (2021)
Keyphrases
- contrast enhanced
- loss function
- mr images
- carotid artery
- mri data
- probabilistic atlas
- magnetic resonance
- magnetic resonance angiography
- magnetic resonance imaging
- medical images
- magnetic resonance images
- contrast agent
- brain tumors
- pairwise
- computed tomography
- accurate segmentation
- manual segmentation
- nonrigid registration
- ultrasound images
- fully automatic
- ct images
- deformable models
- contrast enhancement
- medical imaging
- regularization term
- ct data
- clinical applications
- deformation field
- support vector
- intraoperative
- region growing
- heart disease
- active shape model
- image data
- blood vessels
- prostate cancer
- patient data
- segmentation result
- white matter
- segmentation method
- dce mri
- phase contrast
- medical diagnosis
- medical image analysis
- image analysis
- similarity measure