JP2020516347A5 - - Google Patents
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- 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
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- 230000011218 segmentation Effects 0.000 claims 22
- 238000003384 imaging method Methods 0.000 claims 12
- 230000000747 cardiac effect Effects 0.000 claims 9
- 230000003044 adaptive effect Effects 0.000 claims 6
- 230000003993 interaction Effects 0.000 claims 4
- 208000004476 Acute Coronary Syndrome Diseases 0.000 claims 2
- 239000008280 blood Substances 0.000 claims 2
- 210000004369 blood Anatomy 0.000 claims 2
- 206010012601 diabetes mellitus Diseases 0.000 claims 2
- 238000005534 hematocrit Methods 0.000 claims 2
- 238000000034 method Methods 0.000 claims 2
- 230000001105 regulatory effect Effects 0.000 claims 2
- 238000012790 confirmation Methods 0.000 claims 1
- 230000002107 myocardial effect Effects 0.000 claims 1
- 230000000630 rising effect Effects 0.000 claims 1
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 (18)
| 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)
| 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 |
-
2018
- 2018-04-06 CN CN201880023384.5A patent/CN110574121B/zh active Active
- 2018-04-06 JP JP2019554672A patent/JP7313284B2/ja active Active
- 2018-04-06 US US16/500,245 patent/US11195278B2/en active Active
- 2018-04-06 WO PCT/EP2018/058885 patent/WO2018185298A1/en not_active Ceased
- 2018-04-06 EP EP18717015.4A patent/EP3607558A1/en not_active Withdrawn