Systems and methods for evaluating the brain after onset of a stroke using computed tomography angiography
AssigneeBoard of Regents, The University of Texas System
InventorsSunil A. Sheth, Luca Giancardo, Sean I. Savitz
Life of this patent
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Abstract
In one embodiment, a patient's brain is evaluated after onset of a stroke by capturing computed tomography angiography (CTA) images of the brain, analyzing the CTA images with a CTA image analysis program to evaluate the patient's brain, and generating results based upon the analysis that provide an assessment of the brain. In some cases, the CTA image analysis program comprises a machine-learning algorithm that has been trained on the results of perfusion imaging analysis.
Claims3
A method for evaluating a stroke patient's brain, the method comprising:
- capturing computed tomography angiography (CTA) images of the stroke patient's brain;
- analyzing the captured CTA images with a machine learning-based algorithm that has been trained to quantify a size of an ischemic core based upon similar analysis that has been performed on computed tomography perfusion (CTP) images;
- and
- generating results based solely upon the analysis of the CTA images by the machine learning-based algorithm that provide an indication as to whether the stroke patient is eligible for endovascular stroke therapy (EST).
A non-transitory computer-readable medium that stores computer-executable instructions configured to:
- receive CTA images of a stroke patient's brain;
- analyze the CTA images with a machine learning-based algorithm that has been trained to quantify a size of an ischemic core based upon similar analysis that has been performed on computed tomography perfusion (CTP) images;
- and
- generate results based solely upon the analysis of the CTA images by the machine learning-based algorithm that provide an indication as to whether the stroke patient is eligible for endovascular stroke therapy (EST).
Dependencies are inferred from the claim text.