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11.发明公开公开(公告)号：US20230207137A1
公开(公告)日：2023-06-29
申请号：US18115924
申请日：2023-03-01
Applicant: Elucid Bioimaging Inc.
Inventor： Andrew J. Buckler , Ulf Hedin , Ljubica Matic , Matthew Phillips
CPC classification number: G16H50/50 , G06T7/0012 , G16B5/00 , G06T2207/30101
Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of a lipid-lowering therapy for a patient with known or suspected atherosclerotic cardiovascular disease, such as atherosclerosis.
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公开(公告)号：US11676359B2
公开(公告)日：2023-06-13
申请号：US17328414
申请日：2021-05-24
Applicant: ELUCID BIOIMAGING INC.
Inventor： Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , Mark A. Buckler , Vladimir Valtchinov , David S. Paik
IPC: G06T7/00 , G06T7/11 , G06N20/00 , G06N3/08 , G06T5/00 , G06K9/62 , G06T3/00 , G06V10/25 , G06V20/69
CPC classification number: G06T7/0012 , G06K9/6228 , G06K9/6257 , G06K9/6267 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/003 , G06T7/11 , G06V10/25 , G06V20/69 , G06T2207/10048 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10104 , G06T2207/10108 , G06T2207/10132 , G06T2207/20081 , G06T2207/30096 , G06T2207/30104
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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13.发明申请公开(公告)号：US20230005583A1
公开(公告)日：2023-01-05
申请号：US17838147
申请日：2022-06-10
Applicant: Elucid Bioimaging Inc.
Inventor： Andrew J. Buckler , Ulf Hedin , Ljubica Matic , Matthew Phillips
Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-diabetic therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.
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14.发明申请公开(公告)号：US20220400963A1
公开(公告)日：2022-12-22
申请号：US17838129
申请日：2022-06-10
Applicant: Elucid Bioimaging Inc.
Inventor： Andrew J. Buckler , Ulf Hedin , Ljubica Matic , Matthew Phillips
Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of a lipid-lowering therapy for a patient with known or suspected atherosclerotic cardiovascular disease, such as atherosclerosis.
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公开(公告)号：US11508063B2
公开(公告)日：2022-11-22
申请号：US16984640
申请日：2020-08-04
Applicant: ELUCID BIOIMAGING INC.
Inventor： Andrew J. Buckler
Abstract: A system including a hierarchical analytics framework that can utilize a first set of machine learned algorithms to identify and quantify a set of biological properties utilizing medical imaging data is provided. System can segment the medical imaging data based on the quantified biological properties to delineate existence of perivascular adipose tissue. The system can also segment the medical imaging data based on the quantified biological properties to determine a lumen boundary and/or determine a cap thickness based on a minimum distance between the lumen boundary and LRNC regions.
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Patent Agency Ranking
公开(公告)号：US11113812B2
公开(公告)日：2021-09-07
申请号：US16203434
申请日：2018-11-28
Applicant: Elucid Bioimaging Inc.
Inventor： Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , Mark A. Buckler , Vladimir Valtchinov , David S. Paik
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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公开(公告)号：US20210042918A1
公开(公告)日：2021-02-11
申请号：US16984640
申请日：2020-08-04
Applicant: ELUCID BIOIMAGING INC.
Inventor： Andrew J. BUCKLER
Abstract: A system including a hierarchical analytics framework that can utilize a first set of machine learned algorithms to identify and quantify a set of biological properties utilizing medical imaging data is provided. System can segment the medical imaging data based on the quantified biological properties to delineate existence of perivascular adipose tissue. The system can also segment the medical imaging data based on the quantified biological properties to determine a lumen boundary and/or determine a cap thickness based on a minimum distance between the lumen boundary and LRNC regions.
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公开(公告)号：US20190172197A1
公开(公告)日：2019-06-06
申请号：US16203428
申请日：2018-11-28
Applicant: Elucid Bioimaging Inc.
Inventor： Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , Mark A. Buckler , Vladimir Valtchinov , David S. Paik
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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19.发明授权公开(公告)号：US12236595B2
公开(公告)日：2025-02-25
申请号：US18545550
申请日：2023-12-19
Applicant: ELUCID BIOIMAGING INC.
Inventor： Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , David S. Paik
IPC: G06T7/00 , G06F18/211 , G06F18/214 , G06F18/24 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/73 , G06T7/11 , G06V10/25 , G06V10/764 , G06V20/69
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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20.发明授权公开(公告)号：US12154321B2
公开(公告)日：2024-11-26
申请号：US18504769
申请日：2023-11-08
Applicant: ELUCID BIOIMAGING INC.
Inventor： Matthew Phillips , Andrew J. Buckler
Abstract: Systems and method can be provided to transform input data (e.g., CT imaging data) into structured representations to create interpretable models. Another aspect of the current invention can be generating labels synthetically to apply to real data according to a biologically-based labelling technique to guide the model training with a priori mechanistic knowledge.
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