US 12,307,660 B2
Method and system for automatic calcium scoring from medical images
Hao-Yu Yang, Seattle, WA (US); Junjie Bai, Seattle, WA (US); Youbing Yin, Kenmore, WA (US); and Qi Song, Seattle, WA (US)
Assigned to SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION, Shenzhen (CN)
Filed by SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION, Shenzhen (CN)
Filed on Oct. 20, 2021, as Appl. No. 17/505,917.
Claims priority of provisional application 63/157,141, filed on Mar. 5, 2021.
Prior Publication US 2022/0284571 A1, Sep. 8, 2022
Int. Cl. G06T 7/00 (2017.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01)
CPC G06T 7/0012 (2013.01) [G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 2207/10081 (2013.01); G06T 2207/30008 (2013.01); G06T 2210/41 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A system for determining a calcium score from a medical image, comprising:
a communication interface configured to receive the medical image acquired of a subject by an image acquisition device; and
at least one processor, configured to:
classify the medical image into one of preset modalities, each preset modality being associated with a different imaging technology;
adjust parameters for a score regression learning model used to determine the calcium score based on the one of preset modalities into which the medical image is classified;
apply a calcium detection model to detect at least one calcium region relevant in determining a calcium score from the medical image;
apply the score regression learning model to the at least one calcium region to determine a calcium score for the medical image; and
provide the determined calcium score of the medical image for a diagnosis of the subject,
wherein the calcium detection model and the score regression learning model are jointly trained by using output information from the calcium detection model as input information into the score regression learning model for determining calcium scores.