Actively Recruiting
Deep Enhanced Imaging in Stroke and Vascular Neurology
Led by Chinese PLA General Hospital · Updated on 2023-02-08
1000
Participants Needed
1
Research Sites
265 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Deep Enhanced Imaging in Stroke and Vascular Neurology
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Suspected stroke or cerebral ischemia requiring brain and vascular imaging with CT or MRI
- No history of kidney failure
- Age 18 years or older
- Provided written informed consent
You will not qualify if you...
- Severe movement artifacts affecting image quality
- Presence of tumor lesion or history of craniocerebral surgery
- Poor imaging quality unsuitable for deep learning enhancement
- Pregnancy
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Chinese PLA General Hospital
Beijing, Beijing Municipality, China, 100853
Actively Recruiting
Research Team
J
Jinhao Lyu
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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