US 12,437,391 B2
Medical scan protocol for in-scanner patient data acquisition analysis
Mads Nielsen, Dragør (DK); Robert Megraw Lauritzen, København Ø (DK); and Akshay Sadananda Uppinakudru Pai, Søborg (DK)
Assigned to Cerebriu A/S, Coenhagen (DE)
Appl. No. 17/621,668
Filed by Cerebriu A/S, Copenhagen (DK)
PCT Filed Jun. 26, 2020, PCT No. PCT/EP2020/068168
§ 371(c)(1), (2) Date Dec. 21, 2021,
PCT Pub. No. WO2020/260671, PCT Pub. Date Dec. 30, 2020.
Claims priority of application No. 1909212 (GB), filed on Jun. 26, 2019.
Prior Publication US 2023/0252622 A1, Aug. 10, 2023
Int. Cl. G06T 7/00 (2017.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); G06V 10/22 (2022.01); G06V 10/764 (2022.01)
CPC G06T 7/0012 (2013.01) [A61B 5/055 (2013.01); A61B 5/746 (2013.01); G06V 10/22 (2022.01); G06V 10/764 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30168 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A method of performing a medical scan using a medical imaging system, the method comprising:
a) initiating a medical scan session for a subject in the medical imaging system;
b) performing, using the medical imaging system, a first image acquisition sequence during the medical scan session to obtain first image scan data, the first image acquisition sequence comprising a plurality of different scan types, and the first image scan data comprising image scan data from each scan type of the plurality of different scan types in the first image acquisition sequence;
c) performing, using a classifier comprising a machine learning algorithm trained to classify specific features within the first image scan data and executed on a computer system, image analysis on the first image scan data acquired during said first image acquisition sequence to identify one or more quantitative indicators of pathology and/or image quality, wherein the one or more quantitative indicators of pathology comprise classifications of specific features within the first image scan data indicative of probable pathologies;
d) based on said identification of the one or more quantitative indicators at step c), determining, using the computer system, whether any additional image acquisition sequences are required during said medical scan session; and, if so required:
e) determining, using the computer system, a second image acquisition sequence based on the one or more quantitative indicators; and
f) recommending that the second image acquisition sequence is performed by the medical imaging system whilst the subject remains in the medical imaging system during the medical scan session to obtain second image scan data;
wherein the medical imaging system comprises an MRI scanner and the plurality of scan types are selected from the group consisting of: T2 Fluid Attenuated Inversion Recovery (FLAIR); diffusion-weighted imaging (DWI); Contrast-enhanced MRI (CE-MRI); Dynamic Contrast-Enhanced MRI (DCE-MRI); gradient echo (GRE); 3D susceptibility weighted imaging (SWI); T2* gradient echo and T1 turbo spin echo (TSE); T1-weighted imaging; T2-weighted imaging; and Susceptibility weighted imaging (SWI).