Noninvasive Real-Time Patient-Specific Assessment of Stroke Severity

Technology #ua18-140

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Hessam Babaee
Assistant Professor, 20 Aerospace & Mechanical Engineering
Kaveh Laksari
Assistant Professor, 20 Biomedical Engineering
Managed By
Robert Sleeper
Licensing Manager (520) 626-4604

Tech ID: 18-140


Title: Noninvasive Real-Time Patient-Specific Assessment of Stroke Severity


The proposed technology is a sensor and software that incorporates patient-specific

information and machine learning algorithms to produce a highly biofidelic predictor for tissue

infarction after a stroke or transient ischemic attack.


Current technology for post stroke and transient ischemic attack is invasive and

exposes patients to a high amount of radiation and lack accuracy. The proposed technology

focuses on a system that produces an accurate assessment of a patient’s brain tissue post

stroke. The system incorporates CTA images to provide real-time estimates stroke severity and

cerebral blood flow.



• Medical device in hospitals to assess patient’s stroke or transient ischemic attack




• High-resolution

• Efficient

• Low cost

• Accurate

• Noninvasive

• Real-time cerebral blood flow


Licensing Manager:

Bob Sleeper