JP7313284B2 - 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 - Google Patents

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 Download PDF

Info

Publication number
JP7313284B2
JP7313284B2 JP2019554672A JP2019554672A JP7313284B2 JP 7313284 B2 JP7313284 B2 JP 7313284B2 JP 2019554672 A JP2019554672 A JP 2019554672A JP 2019554672 A JP2019554672 A JP 2019554672A JP 7313284 B2 JP7313284 B2 JP 7313284B2
Authority
JP
Japan
Prior art keywords
coronary artery
user
artery tree
tree segmentation
adjusted
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
JP2019554672A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020516347A5 (https=
JP2020516347A (ja
Inventor
ハンネス ニッキス
ホルヘル スミット
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 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

Images

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
    • A61B5/004Features 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
    • A61B5/0044Features 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring 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
    • A61B5/14535Measuring 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient; User input means
    • A61B5/7475User input or interface means, e.g. keyboard, pointing device, joystick
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT 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
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; 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)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Animal Behavior & Ethology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • Surgery (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Cardiology (AREA)
  • Optics & Photonics (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Analysis (AREA)
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 JP2020516347A5 (https=) 2021-05-13
JP7313284B2 true 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 (https=)
EP (1) EP3607558A1 (https=)
JP (1) JP7313284B2 (https=)
CN (1) CN110574121B (https=)
WO (1) WO2018185298A1 (https=)

Families Citing this family (22)

* 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
EP4300419A3 (en) 2016-05-16 2024-04-03 Cathworks Ltd. System for vascular assessment
EP3461253B1 (en) 2016-05-16 2023-08-09 Cathworks Ltd. Selection of vascular paths from images
JP7181216B2 (ja) 2017-03-31 2022-11-30 コーニンクレッカ フィリップス エヌ ヴェ 経カテーテル大動脈弁移植術(tavi)が冠血流量及び冠動脈圧に及ぼす影響のシミュレーション
EP3659505A1 (en) * 2018-11-28 2020-06-03 Koninklijke Philips N.V. Most relevant x-ray image selection for hemodynamic simulation
JP7357060B2 (ja) 2019-02-06 2023-10-05 ウィリアム イー バトラー, 血管造影の改善された方法
EP4663131A3 (en) 2019-04-01 2026-01-28 Cathworks Ltd. Methods and apparatus for angiographic image selection
EP4033964B1 (en) 2019-09-23 2025-04-09 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
IL314862A (en) 2022-02-10 2024-10-01 Cathworks Ltd System and method for machine-learning based sensor analysis and vascular tree segmentation
US12406365B2 (en) * 2022-03-10 2025-09-02 Cleerly, Inc. Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination
JP2025509148A (ja) * 2022-03-29 2025-04-11 アンギオウェーブ イメージング インコーポレイテッド 機械学習を用いた、造影剤および/またはx線を低減した血管造影のシステムおよび方法
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
IL326432A (en) 2023-08-09 2026-04-01 Cathworks Ltd Coronary artery assessment after PCI
IL326434A (en) 2023-08-09 2026-04-01 Cathworks Ltd User interface and signal leakage testing 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

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007511267A (ja) 2003-11-13 2007-05-10 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
US20160133015A1 (en) 2010-08-12 2016-05-12 Heartflow, Inc. Method and system for image processing to determine patient-specific blood flow characteristics

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104244813B (zh) * 2012-03-15 2017-03-15 西门子公司 用于静息和充血期间冠状动脉血流计算的个性化的框架
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
CN104768465B (zh) 2012-11-06 2018-06-19 皇家飞利浦有限公司 血流储备分数(ffr)指标
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
US9785746B2 (en) * 2014-03-31 2017-10-10 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
WO2016001017A1 (en) 2014-06-30 2016-01-07 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
WO2020081686A1 (en) * 2018-10-17 2020-04-23 Heartflow, Inc. Systems and methods for assessing cardiovascular disease and treatment effectiveness from adipose tissue

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007511267A (ja) 2003-11-13 2007-05-10 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
US20160133015A1 (en) 2010-08-12 2016-05-12 Heartflow, Inc. Method and system for image processing to determine patient-specific blood flow characteristics
JP2016104328A (ja) 2010-08-12 2016-06-09 ハートフロー, インコーポレイテッド 患者固有の血流のモデリングのための方法およびシステム

Also Published As

Publication number Publication date
EP3607558A1 (en) 2020-02-12
US20210110543A1 (en) 2021-04-15
CN110574121B (zh) 2024-03-19
US11195278B2 (en) 2021-12-07
WO2018185298A1 (en) 2018-10-11
JP2020516347A (ja) 2020-06-11
CN110574121A (zh) 2019-12-13

Similar Documents

Publication Publication Date Title
JP7313284B2 (ja) 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
JP7300392B2 (ja) 標準化された冠動脈疾患メトリック
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
US10595806B2 (en) Fractional flow reserve (FFR) index with adaptive boundary condition parameters
JP6297699B2 (ja) 心臓データを処理する処理装置、そのような処理装置を有するイメージングシステム、処理装置の作動方法、イメージングシステムの作動方法及びコンピュータプログラム
CN109996495B (zh) 用于生物物理模拟的血管树标准化和/或用于经修剪的部分的扩展模拟
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
JP2022510879A (ja) 血行力学的シミュレーションのための最も関連のあるx線画像の選択
JP2017518844A (ja) 血流予備量比値を算出するための機器
CN111357055A (zh) 针对血管分叉估计流量以用于模拟血液动力学
JP6749917B2 (ja) iFR−CT
US20190076196A1 (en) Vessel geometry and additional boundary conditions for hemodynamic ffr/ifr simulations from intravascular imaging
WO2023110415A1 (en) System and method for determining partial mass of an organ
CN111033635B (zh) 基于模型和成像数据的冠状动脉健康状态预测
JPWO2018185040A5 (https=)

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20210402

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20210402

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20220322

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20220324

A601 Written request for extension of time

Free format text: JAPANESE INTERMEDIATE CODE: A601

Effective date: 20220607

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220921

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20221020

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20221208

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230330

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230608

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20230706

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20230711

R150 Certificate of patent or registration of utility model

Ref document number: 7313284

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150