JP2020516347A5 - - Google Patents

Download PDF

Info

Publication number
JP2020516347A5
JP2020516347A5 JP2019554672A JP2019554672A JP2020516347A5 JP 2020516347 A5 JP2020516347 A5 JP 2020516347A5 JP 2019554672 A JP2019554672 A JP 2019554672A JP 2019554672 A JP2019554672 A JP 2019554672A JP 2020516347 A5 JP2020516347 A5 JP 2020516347A5
Authority
JP
Japan
Prior art keywords
coronary
segmentation
tree segmentation
coronary tree
boundary
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2019554672A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020516347A (ja
JP7313284B2 (ja
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/EP2018/058885 external-priority patent/WO2018185298A1/en
Publication of JP2020516347A publication Critical patent/JP2020516347A/ja
Publication of JP2020516347A5 publication Critical patent/JP2020516347A5/ja
Application granted granted Critical
Publication of JP7313284B2 publication Critical patent/JP7313284B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2019554672A 2017-04-06 2018-04-06 冠血流予備量比シミュレーションパラメータのカスタマイズ、キャリブレーション、及び/又はトレーニング Active JP7313284B2 (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201762482231P 2017-04-06 2017-04-06
US62/482,231 2017-04-06
US201762535264P 2017-07-21 2017-07-21
US62/535,264 2017-07-21
PCT/EP2018/058885 WO2018185298A1 (en) 2017-04-06 2018-04-06 Fractional flow reserve simulation parameter customization, calibration and/or training

Publications (3)

Publication Number Publication Date
JP2020516347A JP2020516347A (ja) 2020-06-11
JP2020516347A5 true JP2020516347A5 (enExample) 2021-05-13
JP7313284B2 JP7313284B2 (ja) 2023-07-24

Family

ID=61952704

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2019554672A Active JP7313284B2 (ja) 2017-04-06 2018-04-06 冠血流予備量比シミュレーションパラメータのカスタマイズ、キャリブレーション、及び/又はトレーニング

Country Status (5)

Country Link
US (1) US11195278B2 (enExample)
EP (1) EP3607558A1 (enExample)
JP (1) JP7313284B2 (enExample)
CN (1) CN110574121B (enExample)
WO (1) WO2018185298A1 (enExample)

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10210956B2 (en) 2012-10-24 2019-02-19 Cathworks Ltd. Diagnostically useful results in real time
EP3457930B1 (en) 2016-05-16 2023-11-15 Cathworks Ltd. System for vascular assessment
WO2017199246A1 (en) 2016-05-16 2017-11-23 Cathworks Ltd. Vascular selection from images
CN110494923B (zh) 2017-03-31 2023-12-08 皇家飞利浦有限公司 对经导管主动脉瓣植入术(tavi)引起的对冠状动脉流量和压力的影响的模拟
EP3659505A1 (en) * 2018-11-28 2020-06-03 Koninklijke Philips N.V. Most relevant x-ray image selection for hemodynamic simulation
WO2020163614A1 (en) 2019-02-06 2020-08-13 Butler William E Improved methods for angiography
EP3948886B1 (en) 2019-04-01 2025-10-29 CathWorks Ltd. Methods and apparatus for angiographic image selection
WO2021059165A1 (en) 2019-09-23 2021-04-01 Cathworks Ltd. Methods, apparatus, and system for synchronization between a three-dimensional vascular model and an imaging device
US12670603B2 (en) 2019-11-22 2026-06-30 Regents Of The University Of Michigan Anatomical and functional assessment of coronary artery disease using machine learning
US11386563B2 (en) 2019-11-22 2022-07-12 The Regents Of The University Of Michigan Anatomical and functional assessment of coronary artery disease using machine learning
DE102020200750A1 (de) * 2020-01-22 2021-07-22 Siemens Healthcare Gmbh Bereitstellen eines Blutflussparametersatzes einer Gefäßmalformation
CN111754522B (zh) * 2020-06-19 2021-08-03 上海杏脉信息科技有限公司 冠状动脉血流动力学数据的获取方法及装置
CN112711831B (zh) * 2020-12-07 2022-10-28 上海联影医疗科技股份有限公司 血管仿真分析方法、设备、装置、计算机设备和存储介质
CN113648059B (zh) * 2021-08-26 2023-09-29 上海联影医疗科技股份有限公司 手术规划评估方法、计算机设备和存储介质
US12315076B1 (en) 2021-09-22 2025-05-27 Cathworks Ltd. Four-dimensional motion analysis of a patient's coronary arteries and myocardial wall
KR20240148399A (ko) 2022-02-10 2024-10-11 캐스웍스 엘티디. 기계 학습 기반 센서 분석 및 혈관 트리 분할을 위한 시스템 및 방법
US12406365B2 (en) * 2022-03-10 2025-09-02 Cleerly, Inc. Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination
CN118974762A (zh) * 2022-03-29 2024-11-15 血管波影像股份有限公司 用于使用机器学习的血管造影剂量减少的系统和方法
US12475559B2 (en) 2023-05-18 2025-11-18 Regents Of The University Of Michigan Machine learning approach for coronary 3D reconstruction from X-ray angiography images
KR20260052078A (ko) 2023-08-09 2026-04-17 캐스웍스 엘티디. 혈관 지수 측정을 위한 향상된 사용자 인터페이스 및 크로스토크 분석
IL326432A (en) 2023-08-09 2026-04-01 Cathworks Ltd Post-pci coronary analysis
CN118505626B (zh) * 2024-05-10 2025-09-26 中国人民解放军总医院第二医学中心 一种基于冠脉ct影像预测血流储备分数的方法和装置
US12567489B2 (en) 2024-06-12 2026-03-03 Cathworks Ltd. Systems and methods for displaying distal fractional flow reserve values in vascular analysis

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4758353B2 (ja) 2003-11-13 2011-08-24 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 変形可能表面を使った三次元セグメント化
US8315812B2 (en) * 2010-08-12 2012-11-20 Heartflow, Inc. Method and system for patient-specific modeling of blood flow
KR101677085B1 (ko) * 2012-03-15 2016-11-17 지멘스 악티엔게젤샤프트 휴식 및 충혈 동안 관상동맥 혈류량 계산의 개인화를 위한 프레임워크
CN104321009B (zh) 2012-05-14 2017-06-13 皇家飞利浦有限公司 针对血管狭窄的血流储备分数(ffr)值的确定
BR112015010012A2 (pt) 2012-11-06 2017-07-11 Koninklijke Philips Nv método; e sistema
US20140236547A1 (en) 2013-02-15 2014-08-21 Siemens Aktiengesellschaft Patient-specific automated tuning of boundary conditions for distal vessel tree
US8824752B1 (en) * 2013-03-15 2014-09-02 Heartflow, Inc. Methods and systems for assessing image quality in modeling of patient anatomic or blood flow characteristics
US10595806B2 (en) 2013-10-22 2020-03-24 Koninklijke Philips N.V. Fractional flow reserve (FFR) index with adaptive boundary condition parameters
US9390232B2 (en) 2014-03-24 2016-07-12 Heartflow, Inc. Systems and methods for modeling changes in patient-specific blood vessel geometry and boundary conditions
US9087147B1 (en) * 2014-03-31 2015-07-21 Heartflow, Inc. Systems and methods for determining blood flow characteristics using flow ratio
US9754082B2 (en) * 2014-05-30 2017-09-05 Heartflow, Inc. Systems and methods for reporting blood flow characteristics
EP3160335B1 (en) 2014-06-30 2023-09-20 Koninklijke Philips N.V. Apparatus for determining a fractional flow reserve value
US9349178B1 (en) * 2014-11-24 2016-05-24 Siemens Aktiengesellschaft Synthetic data-driven hemodynamic determination in medical imaging
WO2016087396A1 (en) 2014-12-02 2016-06-09 Koninklijke Philips N.V. Fractional flow reserve determination
US9785748B2 (en) 2015-07-14 2017-10-10 Heartflow, Inc. Systems and methods for estimating hemodynamic forces acting on plaque and monitoring patient risk
CA3293369A1 (en) * 2018-10-17 2026-03-02 Heartflow, Inc. Systems and methods for assessing cardiovascular disease and treatment effectiveness from adipose tissue

Similar Documents

Publication Publication Date Title
JP2017516535A5 (enExample)
JP2020500052A5 (enExample)
CN110574121B (zh) 血流储备分数模拟参数的定制、校准和/或训练
JP2018531721A5 (enExample)
Berger et al. Determinants of systemic venous return and the impact of positive pressure ventilation
JP6021346B2 (ja) 診断支援装置及びその制御方法
JP2020516348A5 (enExample)
MX2023012149A (es) Aprendizaje de un modelo de confianza y tolerancia de riesgo de una entidad para calcular una calificación de riesgo.
CN112955927B (zh) 用于针对血管造影-ffr的2d脉管分割的取向检测
JP2019534740A5 (enExample)
EP4418206A3 (en) Method and system for purely geometric machine learning based fractional flow reserve
JP2014180544A5 (enExample)
EP4420706A3 (en) Self-optimising respiratory therapy system
JP2019500960A5 (enExample)
JP2015505264A5 (enExample)
JP2018515292A5 (enExample)
JP2018531067A5 (enExample)
CN105303550B (zh) 图像处理装置及图像处理方法
CN106765972B (zh) 空调器随身感控制方法和装置
RU2017119550A (ru) Способ и устройство для измерения внутричерепного давления (вчд) у субъекта
JP2015005799A5 (enExample)
JP2019179390A5 (enExample)
CN109273074B (zh) 一种用于医疗图像的网络模型调整方法及设备
JP2019514631A5 (enExample)
JP2016504113A5 (enExample)