公开(公告)号：WO2023287776A1

公开(公告)日：2023-01-19

申请号：PCT/US2022/036805

申请日：2022-07-12

Applicant: LIGHTLAB IMAGING, INC.

Inventor： BLABER, Justin, Akira ,  GOPINATH, Ajay ,  CHEN, Humphrey ,  SAVIDGE, Kyle, Edward ,  ZHANG, Angela ,  AMIS, Gregory, Patrick

IPC: A61B5/00 ,  A61B5/02 ,  G06T7/00

Abstract: Aspects of the disclosure relate to systems, methods, and algorithms to train a machine learning model or neural network to classify OCT images. The neural network or machine learning model can receive annotated OCT images indicating which portions of the OCT image are blocked and which are clear as well as a classification of the OCT image as clear or blocked. After training, the neural network can be used to classify one or more new OCT images. A user interface can be provided to output the results of the classification and summarize the analysis of the one or more OCT images.

公开(公告)号：WO2023278753A1

公开(公告)日：2023-01-05

申请号：PCT/US2022/035800

申请日：2022-06-30

Applicant: LIGHTLAB IMAGING, INC.

Inventor： BLABER, Justin, Akira ,  GOPINATH, Ajay ,  AMIS, Gregory, Patrick ,  SAVIDGE, Kyle, Edward

IPC: G06T7/00 ,  G06T11/00 ,  A61B8/0891 ,  A61B8/5223 ,  G06N20/00 ,  G06T11/008 ,  G06T2207/10101 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30101 ,  G06T7/0012 ,  G06T7/12 ,  G16H30/40 ,  G16H50/20

Abstract: Aspects of the disclosure provide for methods, systems, and apparatuses, including computer-readable storage media, for lipid detection by identifying fibrotic caps in medical images of blood vessels. A method includes receiving one or more input images of a blood vessel and processing the one or more input images using a machine learning model trained to identify locations of fibrotic caps in blood vessels. The machine learning model is trained using a plurality of training images each annotated with locations of one or more fibrotic caps. A method includes identifying and characterizing fibrotic caps of lipid pools based on differences in radial signal intensities measured at different locations of an input image. A system can generate one or more output images having segments that are visually annotated representing predicted locations of fibrotic caps covering lipidic plaques.