Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.
Tanja LossauHannes NickischTobias WisselRolf BippusHolger SchmittMichael M. MorlockMichael GrassPublished in: Medical Image Anal. (2019)
Keyphrases
- convolutional neural networks
- motion artifacts
- x ray
- computed tomography
- coronary artery disease
- convolutional network
- motion correction
- coronary artery
- optical coherence tomography
- ct images
- computer tomography
- beating heart
- respiratory motion
- ct scans
- three dimensional
- medical images
- real time tracking
- image sequences
- motion analysis
- cone beam
- motion estimation
- cardiac cycle
- ct data
- human gait
- motion model
- optical flow
- patient specific
- intraoperative
- medical imaging
- clinical setting
- image reconstruction
- myocardial perfusion
- object recognition
- cardiac ct
- mr images
- intravascular ultrasound