The impact of software-based metal artifact reduction on the liquid embolic agent Onyx in cone-beam CT: a systematic in vitro and in vivo study.
Niclas SchmittCharlotte Sabine WeylandLena WucherpfennigChristof M SommerMartin BendszusMarkus A MöhlenbruchDominik F VollherbstPublished in: Journal of neurointerventional surgery (2021)
The MAR software significantly reduced the artifacts evoked by Onyx in CBCT without affecting the visualization of brain parenchyma on artifact-free images. Applying this software could thus improve the quality of periprocedural CBCT images after embolization with Onyx.
Keyphrases
- image quality
- cone beam
- dual energy
- computed tomography
- deep learning
- convolutional neural network
- data analysis
- optical coherence tomography
- resting state
- white matter
- cone beam computed tomography
- positron emission tomography
- magnetic resonance imaging
- coronary artery disease
- machine learning
- multiple sclerosis
- direct oral anticoagulants
- venous thromboembolism
- functional connectivity
- blood brain barrier