Deep Enhanced Imaging in Stroke and Vascular Neurology
Chinese PLA General Hospital
1,000 participants
Dec 1, 2022
OBSERVATIONAL
Conditions
Summary
To investigate the performance of enhanced computed tomography (CT) or magnetic resonance (MR) imaging by deep learning relative to conventional CT or MR imaging in brain stroke and vascular neurology. We expect that the deep enhanced imaging method can shorten the time stay in the imaging session of stroke patients, optimize the overall imaging quality and improve the patients' care in imaging session.
Eligibility
Inclusion Criteria4
- suspecting to have experienced stroke or cerebral ischemia and needed to undergo brain imaging and vascular imaging including CT or MRI
- no history of kidney failure
- a minimum age of 18 years
- obtained written informed consent
Exclusion Criteria4
- severe movement artifacts
- incidental finding of tumor lesion or craniocerebral surgery history
- poor imaging failed to perform deep learning method
- women who pregnancy
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Interventions
Conventional imaging or down-sampling imaging from CT or MR are enhanced by approved deep learning method.
Locations(1)
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NCT05614193