Deep learning imaging enhancement: Conventional imaging or down-sampling imaging from CT or MR are enhanced by approved deep learning method.
Study 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
Sex
ALL
Min age
18 Years
Max age
100 Years
Healthy volunteers
No
Inclusion Criteria:
* 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 Criteria:
* severe movement artifacts
* incidental finding of tumor lesion or craniocerebral surgery history
* poor imaging failed to perform deep learning method
* women who pregnancy
Primary outcome measure(s)
The performance of deep enhanced imaging in lesion detection and diagnosis — 1 year The performance of deep enhanced imaging in lesion detection and diagnosis, including imaging quality, accuracy, sensitivity and specificity in lesion detection and imaging diagnosis.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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