Motion artifact correction for cone beam CT stroke imaging: a prospective series.
Nicole Mariantonia CancelliereFred van NijnattenEric HummelPaul WithagenPeter van de HaarHidehisa NishiRonit AgidPatrick NicholsonBertan HallacogluMarijke van VlimmerenVitor M PereiraPublished in: Journal of neurointerventional surgery (2022)
Our results demonstrate that CBCT motion artifacts are significantly reduced using a novel post-processing algorithm, which improved brain CBCT image quality and diagnostic assessment for stroke. This is an important step on the road towards a direct-to-angio approach for endovascular thrombectomy (EVT) treatment.
Keyphrases
- image quality
- cone beam
- computed tomography
- atrial fibrillation
- dual energy
- cerebral ischemia
- high resolution
- machine learning
- high speed
- white matter
- acute ischemic stroke
- combination therapy
- positron emission tomography
- brain injury
- subarachnoid hemorrhage
- multiple sclerosis
- contrast enhanced
- photodynamic therapy
- replacement therapy
- fluorescence imaging
- smoking cessation