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公开(公告)号:US20230306620A1
公开(公告)日:2023-09-28
申请号:US18125520
申请日:2023-03-23
Applicant: LightLab Imaging, Inc.
Inventor: Angela Zhang , Shimin Li , Robert Steinbrecher , Jack Fince , Paul Gervasio
CPC classification number: G06T7/337 , G06T3/40 , G06T3/20 , G06T2207/30101 , G06T2207/20092 , G06T2207/10121 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10132 , G06T2207/10108 , G06T2207/20212
Abstract: The disclosure relates to methods of providing live x-ray images such as fluoroscopic images in combination with reference information co-registered angiography frames that are motion corrected in real time. In part, the disclosure describes an improvement on the existing workflow where the user must remember where the vessel features from OCT are and use a reference frame to estimate the location of desired stent placement. Disclosed herein are methods to correlate the live imaging feed and the reference angiography image such that the user may dynamically zoom and pan the live imaging feed and the reference angiography image.
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公开(公告)号:US20230018499A1
公开(公告)日:2023-01-19
申请号:US17862991
申请日:2022-07-12
Applicant: LightLab Imaging, Inc.
Inventor: Justin Akira Blaber , Ajay Gopinath , Humphrey Chen , Kyle Edward Savidge , Angela Zhang , Gregory Patrick Amis
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.
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