CN110574121B - 血流储备分数模拟参数的定制、校准和/或训练 - Google Patents

血流储备分数模拟参数的定制、校准和/或训练 Download PDF

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CN110574121B
CN110574121B CN201880023384.5A CN201880023384A CN110574121B CN 110574121 B CN110574121 B CN 110574121B CN 201880023384 A CN201880023384 A CN 201880023384A CN 110574121 B CN110574121 B CN 110574121B
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boundary condition
tree segmentation
arterial tree
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CN110574121A (zh
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H·尼克基施
H·施米特
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Koninklijke Philips NV
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
    • A61B5/004—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
    • A61B5/0044—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the heart
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
    • A61B5/14535—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue for measuring haematocrit
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/7475—User input or interface means, e.g. keyboard, pointing device, joystick
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30048—Heart; Cardiac

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Molecular Biology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biophysics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Cardiology (AREA)
  • Quality & Reliability (AREA)
  • Optics & Photonics (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Analysis (AREA)
CN201880023384.5A 2017-04-06 2018-04-06 血流储备分数模拟参数的定制、校准和/或训练 Active CN110574121B (zh)

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 (2)

Publication Number Publication Date
CN110574121A CN110574121A (zh) 2019-12-13
CN110574121B true CN110574121B (zh) 2024-03-19

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US (1) US11195278B2 (OSRAM)
EP (1) EP3607558A1 (OSRAM)
JP (1) JP7313284B2 (OSRAM)
CN (1) CN110574121B (OSRAM)
WO (1) WO2018185298A1 (OSRAM)

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US10210956B2 (en) 2012-10-24 2019-02-19 Cathworks Ltd. Diagnostically useful results in real time
EP3461253B1 (en) 2016-05-16 2023-08-09 Cathworks Ltd. Selection of vascular paths from images
IL263065B2 (en) 2016-05-16 2024-08-01 Cathworks Ltd Vascular evaluation system
EP3602569A1 (en) 2017-03-31 2020-02-05 Koninklijke Philips N.V. Simulation of transcatheter aortic valve implantation (tavi) induced effects on coronary flow and pressure
EP3659505A1 (en) * 2018-11-28 2020-06-03 Koninklijke Philips N.V. Most relevant x-ray image selection for hemodynamic simulation
EP4663131A2 (en) 2019-04-01 2025-12-17 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
EP4062362A1 (en) 2019-11-22 2022-09-28 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
CN118985005A (zh) 2022-02-10 2024-11-19 凯思沃克斯有限公司 用于基于机器学习的传感器分析和血管树分割的系统和方法
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
US12446965B2 (en) 2023-08-09 2025-10-21 Cathworks Ltd. Enhanced user interface and crosstalk analysis for vascular index measurement
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
US12499646B1 (en) 2024-06-12 2025-12-16 Cathworks Ltd. Three-dimensional sizing tool for cardiac assessment

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ATE369593T1 (de) * 2003-11-13 2007-08-15 Koninkl Philips Electronics Nv Dreidimensionale segmentierung durch verwendung deformierbarer oberflächen
US8315812B2 (en) * 2010-08-12 2012-11-20 Heartflow, Inc. Method and system for patient-specific modeling of blood flow
US10622110B2 (en) * 2012-03-15 2020-04-14 Siemens Healthcare Gmbh Framework for personalization of coronary flow computations during rest and hyperemia
JP6173438B2 (ja) 2012-05-14 2017-08-02 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 血管の狭窄のための冠血流予備量比（ｆｆｒ）値の決定
WO2014072861A2 (en) 2012-11-06 2014-05-15 Koninklijke Philips N.V. Fractional flow reserve (ffr) index
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
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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
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KR20210076944A (ko) * 2018-10-17 2021-06-24 하트플로우, 인크. 지방 조직으로부터 심장혈관 질환 및 치료 유효성을 평가하기 위한 시스템들 및 방법들

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US11195278B2 (en) 2021-12-07
JP2020516347A (ja) 2020-06-11
CN110574121A (zh) 2019-12-13
US20210110543A1 (en) 2021-04-15
EP3607558A1 (en) 2020-02-12
WO2018185298A1 (en) 2018-10-11
JP7313284B2 (ja) 2023-07-24

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