Improving Aorta Segmentation from Phase Contrast MRI Using Adaptive Velocity-Dependent Weighting on the Deep Learning Output for Magnitude and Phase Images.
Mohamed A ElbayumiSamira SarayaTamer BashaPublished in: CinC (2022)
Keyphrases
- phase contrast
- microscopy images
- magnetic resonance angiography
- phase contrast images
- blood flow
- deep learning
- low contrast
- magnetic resonance
- image data
- multi channel
- accurate segmentation
- patient specific
- computational fluid dynamics
- segmentation method
- fully automatic
- test images
- input image
- image analysis
- mr images
- electron microscopy
- medical images
- three dimensional
- left ventricular
- ground truth
- segmentation algorithm
- image registration
- gray level
- object recognition
- unsupervised learning
- imaging modalities
- brain tumors
- contrast enhancement
- blood vessels
- machine learning
- region of interest
- medical imaging
- contrast agent
- image segmentation