Metal artifact reduction algorithm for image quality improvement of cone-beam CT images of medium or large cerebral aneurysms treated with stent-assisted coil embolization.
Satoshi MuraiMasafumi HiramatsuYuji TakasugiYu TakahashiNaoya KidaniShingo NishihiroYukei ShinjiJun HarumaTomohito HishikawaKenji SugiuIsao DatePublished in: Neuroradiology (2019)
This study suggests the feasibility of a MAR algorithm to improve the image quality of CBCT images in patients who have undergone SAC for medium or large aneurysms.
Keyphrases
- image quality
- deep learning
- computed tomography
- dual energy
- quality improvement
- newly diagnosed
- convolutional neural network
- machine learning
- end stage renal disease
- cone beam
- ejection fraction
- optical coherence tomography
- chronic kidney disease
- prognostic factors
- magnetic resonance imaging
- patient safety
- contrast enhanced
- blood brain barrier
- neural network
- transition metal