US 12,465,313 B2
System and methods of prediction of ischemic brain tissue fate from multi-phase CT-angiography in patients with acute ischemic stroke using machine learning
Bijoy K. Menon, Calgary (CA); Wu Qiu, Calgary (CA); Mayank Goyal, Calgary (CA); Michael Hill, Calgary (CA); Andrew Demchuk, Calgary (CA); and Alireza Sojoudi, Calgary (CA)
Assigned to Circle Cardiovascular Imaging Inc., Calgary (CA)
Appl. No. 17/906,169
Filed by Circle Cardiovascular Imaging Inc., Calgary (CA)
PCT Filed Mar. 10, 2021, PCT No. PCT/CA2021/050320
§ 371(c)(1), (2) Date Sep. 12, 2022,
PCT Pub. No. WO2021/179078, PCT Pub. Date Sep. 16, 2021.
Claims priority of provisional application 62/987,448, filed on Mar. 10, 2020.
Prior Publication US 2023/0277151 A1, Sep. 7, 2023
Int. Cl. A61B 6/00 (2024.01); A61B 6/50 (2024.01); G06T 7/00 (2017.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01)
CPC A61B 6/5217 (2013.01) [A61B 6/501 (2013.01); A61B 6/5235 (2013.01); A61B 6/5247 (2013.01); G06T 7/0016 (2013.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G06T 2200/24 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30104 (2013.01)] 29 Claims
OG exemplary drawing
 
1. A method of quantifying core and/or penumbra from a plurality of current multi-phase computed tomography (mCTA) images of a patient comprising the steps of:
i. introducing the plurality of mCTA images into a prediction model, the prediction model derived from historical computed tomography perfusion (CTP) image data and CTP study data that quantified Time to Maximum (Tmax), cerebral blood volume (CBV) and cerebral blood flow (CBF) from the historical CTP image data and wherein the prediction model fits the current mCTA images into the prediction model to predict core and/or penumbra from the current mCTA images.