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

Info

Publication number
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
Authority
CN
China
Prior art keywords
user
adjusted
boundary condition
tree segmentation
arterial tree
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.)
Active
Application number
CN201880023384.5A
Other languages
English (en)
Chinese (zh)
Other versions
CN110574121A (zh
Inventor
H·尼克基施
H·施米特
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of CN110574121A publication Critical patent/CN110574121A/zh
Application granted granted Critical
Publication of CN110574121B publication Critical patent/CN110574121B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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

Landscapes

  • 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)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Veterinary Medicine (AREA)
  • Surgery (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Optics & Photonics (AREA)
  • Cardiology (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

Family

ID=61952704

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201880023384.5A Active CN110574121B (zh) 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

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 (18)

* 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
EP4241694A3 (en) 2016-05-16 2023-12-20 Cathworks Ltd. Selection of vascular paths from images
JP7036742B2 (ja) 2016-05-16 2022-03-15 キャスワークス リミテッド 血管評価システム
US11918291B2 (en) 2017-03-31 2024-03-05 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
JP7532402B2 (ja) 2019-04-01 2024-08-13 キャスワークス リミテッド 血管造影画像選択のための方法および装置
EP4555935A3 (en) 2019-09-23 2025-07-30 Cathworks Ltd. Methods, apparatus, and system for synchronization between a three-dimensional vascular model and an imaging device
JP7678479B2 (ja) 2019-11-22 2025-05-16 ザ・リージェンツ・オブ・ザ・ユニバーシティ・オブ・ミシガン 機械学習を使用する冠状動脈疾患の解剖学的および機能的評価
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
WO2023192392A1 (en) * 2022-03-29 2023-10-05 Angiowave Imaging, Llc System and method for angiographic dose reduction using machine learning
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

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7668349B2 (en) * 2003-11-13 2010-02-23 Koninklijke Philips Electronics N.V. Three-dimensional segmentation using deformable surfaces
US8315812B2 (en) * 2010-08-12 2012-11-20 Heartflow, Inc. Method and system for patient-specific modeling of blood flow
EP2825091B1 (en) * 2012-03-15 2016-08-24 Siemens Healthcare GmbH A framework for personalization of coronary flow computations during rest and hyperemia
WO2013171644A1 (en) 2012-05-14 2013-11-21 Koninklijke Philips N.V. Determination of a fractional flow reserve (ffr) value for a stenosis of a vessel
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
CN106659400B (zh) 2014-06-30 2021-01-05 皇家飞利浦有限公司 用于确定血流储备分数值的装置
US9349178B1 (en) * 2014-11-24 2016-05-24 Siemens Aktiengesellschaft Synthetic data-driven hemodynamic determination in medical imaging
US11141123B2 (en) * 2014-12-02 2021-10-12 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
EP3867927A1 (en) * 2018-10-17 2021-08-25 HeartFlow, Inc. Systems and methods for assessing cardiovascular disease and treatment effectiveness from adipose tissue

Also Published As

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

Similar Documents

Publication Publication Date Title
CN110574121B (zh) 血流储备分数模拟参数的定制、校准和/或训练
US10595806B2 (en) Fractional flow reserve (FFR) index with adaptive boundary condition parameters
EP3606433B1 (en) Standardized coronary artery disease metric
JP7426824B2 (ja) 非侵襲的イメージングベースのｆｆｒのインタラクションモニタリング
CN110444275B (zh) 用于快速计算血流储备分数的系统和方法
JP6484760B2 (ja) 非侵襲的血流予備量比（ｆｆｒ）に対する側副血流モデル化
JP6749917B2 (ja) ｉＦＲ−ＣＴ
JP2020510451A (ja) 生物物理的シミュレーション用の血管樹標準化及び／又はプルーニングされた部分用の拡張シミュレーション
EP3456243A1 (en) Improved vessel geometry and additional boundary conditions for hemodynamic ffr/ifr simulations from intravascular imaging
CN111033635B (zh) 基于模型和成像数据的冠状动脉健康状态预测
JPWO2018185040A5 (enExample)

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant