Deformable US/CT Image Registration with a Convolutional Neural Network for Cardiac Arrhythmia Therapy.
Batoul DahmanJean-Louis DillensegerPublished in: EMBC (2020)
Keyphrases
- convolutional neural network
- atrial fibrillation
- image registration
- left atrium
- respiratory motion
- deformable registration
- medical imaging
- ecg signals
- heart rate variability
- model based segmentation
- face detection
- contrast enhanced
- myocardial infarction
- mutual information
- heart disease
- pre operative
- intraoperative
- magnetic resonance
- accurate registration
- nonrigid registration
- deformation field
- target registration error
- x ray
- computed tomography
- registration accuracy
- medical images
- ct images
- cardiac arrhythmias
- medical image analysis
- magnetic resonance images
- blood pool
- deformable models
- neural network
- ct data
- registration errors
- image slices
- medical image registration
- patient specific
- heart rate
- computer vision
- three dimensional
- soft tissue
- image guided
- object detection
- registration framework
- mr images
- clinical applications
- image analysis
- computer tomography
- image reconstruction
- displacement field
- radiation dose
- statistical shape model
- spectral analysis
- left ventricle
- face recognition
- image sequences
- machine learning