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1. 发明申请

WO2022173534A1 SYSTEMS AND METHODS FOR IMPROVING SOFT TISSUE CONTRAST, MULTISCALE MODELING AND SPECTRAL CT 审中-公开
公开(公告)号：WO2022173534A1
公开(公告)日：2022-08-18
申请号：PCT/US2022/011689
申请日：2022-01-07
申请人： ELUCID BIOIMAGING INC.
发明人： BUCKLER, Andrew J. , JI, Changguo , AYYAPILLAI, Murali
IPC分类号： G16H30/00
摘要： Systems and methods for improving soft tissue contrast, characterizing tissue, classifying phenotype, stratifying risk, and performing multi-scale modeling aided by multiple energy or contrast excitation and evaluation are provided. The systems and methods can include single and multi-phase acquisitions and broad and local spectrum imaging to assess atherosclerotic plaque tissues in the vessel wall and perivascular space.

2. 发明申请

WO2019033098A3 QUANTITATIVE MEDICAL IMAGING REPORTING 审中-公开
公开(公告)号：WO2019033098A3
公开(公告)日：2019-02-14
申请号：PCT/US2018/046483
申请日：2018-08-13
申请人： ELUCID BIOIMAGING INC.
发明人： BUCKLER, Mary, E. , MA, Xiaonan , MARTELL, Lawrence , BUCKLER, Andrew, J.
IPC分类号： G06F17/27
摘要： Advanced reporting systems based on ontology development for quantitative imaging biomarkers, information modeling to integrate heterogeneous data types relevant to quantitative medical analysis, and a knowledge representation framework for their statistical validation.

3. 发明申请

WO2022261506A1 SYSTEMS AND METHODS FOR PATIENT-SPECIFIC THERAPEUTIC RECOMMENDATIONS FOR CARDIOVASCULAR DISEASE 审中-公开
公开(公告)号：WO2022261506A1
公开(公告)日：2022-12-15
申请号：PCT/US2022/033115
申请日：2022-06-10
申请人： ELUCID BIOIMAGING INC.
发明人： BUCKLER, Andrew J. , HEDIN, Ulf , MATIC, Ljubica , PHILLIPS, Matthew
IPC分类号： G16B5/00 , G16H20/10 , G16H30/40
摘要： Provided herein are methods and systems for making patient-specific therapy recommendations for patients with known or suspected cardiovascular disease, such as atherosclerosis.

4. 发明申请

WO2019231844A1 METHODS AND SYSTEMS FOR UTILIZING QUANTITATIVE IMAGING 审中-公开
公开(公告)号：WO2019231844A1
公开(公告)日：2019-12-05
申请号：PCT/US2019/033930
申请日：2019-05-24
申请人： ELUCID BIOIMAGING INC.
发明人： BUCKLER, Mark A. , PAIK, David S. , VALTCHINOV, Vladimir , BUCKLER, Andrew J.
IPC分类号： G06K9/00
摘要： 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.

5. 发明申请

WO2017106819A1 METHODS AND SYSTEMS FOR REPRESENTING, STORING, AND ACCESSING COMPUTABLE MEDICAL IMAGING-DERIVED QUANTITIES 审中-公开
标题翻译：用于表示，存储和访问可计算医学成像衍生量的方法和系统
公开(公告)号：WO2017106819A1
公开(公告)日：2017-06-22
申请号：PCT/US2016/067463
申请日：2016-12-19
申请人： ELUCID BIOIMAGING INC.
发明人： BUCKLER, Andrew, J. , MOULTON, Keith, A. , BUCKLER, Mary , MARTELL, Lawrence , PAIK, David, S. , MA, Xiaonan , ST. PIERRE, Samantha
IPC分类号： G06F17/30
CPC分类号： G06F17/30 , G06F17/30734 , G06F19/00
摘要： Methods and systems for making image-derived information available by performing analyses with semantic annotations accessible using semantic web technology for personalized medicine and discovery science are disclosed. Individual cases are identified according to an identification scheme. Targets for image analysis for each case are characterized in order to support tracking of a given anatomy, suspected pathology, confirmed pathology, or medical intervention at one or more timepoints. Access information to one or more medical images of each target at each one of the one or more timepoints is provided and stored. One or more levels of image-derived analysis is obtained and stored, the image derived analysis including at least one of imaging features, measured quantities, phenotypic descriptions, or predictions relative to said one case. A semantic search ability accesses across stored data items, for imaging or non-imaging associated data, according to concepts in an ontology according to relationships, without requiring the queries to be defined beforehand. By accessing predetermined data services, queries from the knowledge base are formed in order to collect data sets. The data sets can be used to test a hypothesis, the hypothesis related to supporting tracking of the given anatomy, the suspected pathology, the confirmed pathology, or the medical intervention.
摘要翻译：公开了用于通过使用用于个性化医学和发现科学的语义网技术进行语义注释的分析来使图像获得的信息可用的方法和系统。根据识别方案识别个案。为了支持在一个或多个时间点跟踪给定的解剖结构，可疑的病理，确定的病理或医学干预，对每种情况下的图像分析目标进行表征。提供并存储在一个或多个时间点中的每一个时间点访问到每个目标的一个或多个医学图像的信息。获得并存储一个或多个级别的图像衍生分析，图像衍生分析包括相对于所述一种情况的成像特征，测量量，表型描述或预测中的至少一个。根据关系中的本体中的概念，语义搜索能力访问存储的数据项目中的成像或非成像关联数据，而不需要事先定义查询。通过访问预定的数据服务，形成来自知识库的查询以收集数据集。这些数据集可用于检验假设，假设与支持跟踪给定解剖结构，可疑病理，确诊病理或医疗干预有关。

6. 发明申请

WO2021026125A1 COMBINED ASSESSMENT OF MORPHOLOGICAL AND PERIVASCULAR DISEASE MARKERS 审中-公开
公开(公告)号：WO2021026125A1
公开(公告)日：2021-02-11
申请号：PCT/US2020/044845
申请日：2020-08-04
申请人： ELUCID BIOIMAGING INC.
发明人： BUCKLER, Andrew J.
IPC分类号： G06T7/00 , A61B6/03 , A61B8/12 , G06K9/34 , G06K9/46 , G06T7/11
摘要： 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.

7. 发明申请

WO2019033098A2 QUANTITATIVE MEDICAL IMAGING REPORTING 审中-公开
公开(公告)号：WO2019033098A2
公开(公告)日：2019-02-14
申请号：PCT/US2018/046483
申请日：2018-08-13
申请人： ELUCID BIOIMAGING INC.
发明人： BUCKLER, Mary, E. , MA, Xiaonan , MARTELL, Lawrence , BUCKLER, Andrew, J.
IPC分类号： G16H30/20
摘要： Advanced reporting systems based on ontology development for quantitative imaging biomarkers, information modeling to integrate heterogeneous data types relevant to quantitative medical analysis, and a knowledge representation framework for their statistical validation.

8. 发明申请

WO2017096407A1 SYSTEMS AND METHODS FOR ANALYZING PATHOLOGIES UTILIZING QUANTITATIVE IMAGING 审中-公开
标题翻译：用于分析利用定量成像的病理学的系统和方法
公开(公告)号：WO2017096407A1
公开(公告)日：2017-06-08
申请号：PCT/US2016/065132
申请日：2016-12-06
申请人： ELUCID BIOIMAGING INC.
发明人： PAIK, David, S. , BUCKLER, Andrew, J. , JOHNSON, Kjell , MA, Xiaonan , MOULTON, Keith, A.
IPC分类号： A61B5/02 , A61B5/055 , G06K9/80
CPC分类号： G06K9/6296 , A61B6/032 , A61B6/504 , G06K9/00147
摘要： 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.
摘要翻译：本文给出了利用定量成像分析病理的系统和方法。有利地，本公开的系统和方法利用分层分析框架，其根据成像数据识别和量化生物特性/分析物，然后基于量化的生物特性/分析物识别和表征一种或多种病理。这种使用成像技术检查潜在生物学作为评估病理学中介的分层方法，提供了许多分析和处理优于配置为直接确定和表征基础成像数据的病理学的系统和方法。

9. 发明公开

US20240212143A1 MYOCARDIAL ISCHEMIA PREDICTION 审中-公开
公开(公告)号：US20240212143A1
公开(公告)日：2024-06-27
申请号：US18415137
申请日：2024-01-17
申请人： ELUCID BIOIMAGING INC.
发明人： Andrew J. BUCKLER , Kjell JOHNSON , Xiaonan MA , Keith A. MOULTON , David S. PAIK
IPC分类号： G06T7/00 , G06F18/211 , G06F18/214 , G06F18/24 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/73 , G06T7/11 , G06V10/25 , G06V10/764 , G06V20/69
CPC分类号： G06T7/0012 , G06F18/211 , G06F18/2148 , G06F18/24 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/73 , G06T7/11 , G06V10/25 , G06V10/764 , G06V20/69 , G06T2207/10048 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10104 , G06T2207/10108 , G06T2207/10132 , G06T2207/20081 , G06T2207/30096 , G06T2207/30104
摘要： 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.

10. 发明公开

US20240161295A1 DETERMINING BIOLOGICAL PROPERTIES OF ATHEROSCLEROTIC PLAQUE, CORONARY ARTERY DISEASE, OR VASCULOPATHY 审中-公开
公开(公告)号：US20240161295A1
公开(公告)日：2024-05-16
申请号：US18545542
申请日：2023-12-19
申请人： ELUCID BIOIMAGING INC.
发明人： Andrew J. BUCKLER , Kjell JOHNSON , Xiaonan MA , Keith A. MOULTON , David S. PAIK
IPC分类号： G06T7/00 , G06F18/211 , G06F18/214 , G06F18/24 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/73 , G06T7/11 , G06V10/25 , G06V10/764 , G06V20/69
CPC分类号： G06T7/0012 , G06F18/211 , G06F18/2148 , G06F18/24 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/73 , G06T7/11 , G06V10/25 , G06V10/764 , G06V20/69 , G06T2207/10048 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10104 , G06T2207/10108 , G06T2207/10132 , G06T2207/20081 , G06T2207/30096 , G06T2207/30104
摘要： 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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