JP7208978B2 - 冠動脈血管を解析する装置、当該装置の作動方法、当該方法を実行させるコンピュータプログラム及びコンピュータ読取可能な媒体 - Google Patents
冠動脈血管を解析する装置、当該装置の作動方法、当該方法を実行させるコンピュータプログラム及びコンピュータ読取可能な媒体 Download PDFInfo
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Description
Claims (15)
- 冠動脈血管を解析する装置であって、
関心血管の少なくとも1つの診断画像から生成された、前記関心血管を経る血流の動態を表す流体力学的モデルとしての生理学的モデルにおける複数の点について決定された複数のシミュレーションされた血管の圧力値を有するシミュレーションされた引き抜きデータであって、前記複数の点は、前記関心血管の遠端における開始点から近端における終了点まで進む前記関心血管のセグメントに沿って延在する、シミュレーションされた引き抜きデータ、及び、
プレッシャワイヤが引き抜かれることで前記関心血管の前記セグメントに沿った生体内原位置で取得された複数の血管内圧力値を有する血管内引き抜きデータ
を受信する入力ユニットと、
前記シミュレーションされた引き抜きデータからシミュレーションされた引き抜き圧曲線を、また、前記血管内引き抜きデータから血管内引き抜き圧曲線を導出し、
前記シミュレーションされた引き抜き圧曲線と前記血管内引き抜き圧曲線とを比較して該シミュレーションされた引き抜き圧曲線と該血管内引き抜き圧曲線との間の少なくとも1つの不一致を識別すると共に、該少なくとも1つの不一致を出力する
重ね合わせユニットと、
を有する、装置。 - 前記少なくとも1つの診断画像がX線血管造影法を用いて取得され、及び/又は前記血管内引き抜きデータが瞬時血流予備量比(iFR)の引き抜き記録法を用いて取得される、請求項1に記載の装置。
- 前記関心血管の前記少なくとも1つの診断画像を受信し、該関心血管の前記少なくとも1つの診断画像をセグメント化し、且つ、該セグメント化に基づいて前記生理学的モデルを生成するモデル化ユニットと、
前記シミュレーションされた引き抜きデータを前記流体力学的モデルに基づいて決定する決定ユニットと、
を更に有する、請求項1に記載の装置。 - 前記シミュレーションされた引き抜きデータ及び前記血管内引き抜きデータを計算する計算ユニットと、
前記シミュレーションされた引き抜きデータ及び前記血管内引き抜きデータを少なくとも1つの血管情報と一緒に表示する表示ユニットと、
を更に有する、請求項1に記載の装置。 - 前記シミュレーションされた引き抜きデータは、複数のシミュレーションされた血行動態的パラメータ値を有し、
前記血管内引き抜きデータは、前記関心血管の長軸に沿った複数の血管内位置において取得された複数の血管内血行動態的パラメータ値を有し、
前記シミュレーションされた引き抜きデータ及び前記血管内引き抜きデータの比較が、前記複数の血管内血行動態的パラメータ値のうちの少なくとも1つの血管内血行動態的パラメータ値と、前記複数のシミュレーションされた血行動態的パラメータ値のうちの少なくとも1つのシミュレーションされた血行動態的パラメータ値との相関付けを更に有する、
請求項1に記載の装置。 - 前記少なくとも1つの血管内血行動態的パラメータ値と、前記少なくとも1つのシミュレーションされた血行動態的パラメータ値との相関付けが、前記血管内引き抜きデータの取得の間に得られる追跡記録情報を用いて実行される、請求項5に記載の装置。
- 前記生理学的モデルは前記関心血管の幾何学的モデルを更に有し、
前記幾何学的モデルにおける前記関心血管の血管長が、前記シミュレーションされた引き抜きデータから導出されたシミュレーションされた引き抜き曲線の長さの調整に基づいて調整される、
請求項1に記載の装置。 - 前記少なくとも1つの不一致が、前記シミュレーションされた引き抜きデータから導出されたシミュレーションされた引き抜き曲線と前記血管内引き抜きデータから導出された血管内引き抜き曲線との間のスケールの差を含む、請求項1に記載の装置。
- 前記少なくとも1つの不一致が、前記シミュレーションされた引き抜きデータから導出されたシミュレーションされた引き抜き曲線から決定されるシミュレーションされた勾配、及び、前記血管内引き抜きデータから導出された血管内引き抜き曲線から決定される血管内勾配の差を含み、前記シミュレーションされた勾配及び前記血管内勾配が前記関心血管の近端において決定される、請求項1に記載の装置。
- 前記少なくとも1つの不一致が、前記複数のシミュレーションされた血行動態的パラメータ値のうちの前記少なくとも1つのシミュレーションされた血行動態的パラメータ値と、前記複数の血管内血行動態的パラメータ値のうちの前記少なくとも1つの血管内血管内血行動態的パラメータ値との差を含む、請求項5に記載の装置。
- 入力ユニットと重ね合わせユニットとを有する、冠動脈血管を解析するための装置の作動方法であって、
前記入力ユニットが、関心血管の少なくとも1つの診断画像から生成された、前記関心血管を経る血流の動態を表す流体力学的モデルとしての生理学的モデルにおける複数の点について決定された複数のシミュレーションされた血管の圧力値を有するシミュレーションされた引き抜きデータを受信するステップであって、前記複数の点は、前記関心血管の遠端における開始点から近端における終了点まで進む前記関心血管のセグメントに沿って延在する、シミュレーションされた引き抜きデータを受信するステップと、
前記入力ユニットが、プレッシャワイヤが引き抜かれることで前記関心血管の前記セグメントに沿った生体内原位置で取得された複数の血管内圧力値を有する血管内引き抜きデータを受信するステップと、
前記重ね合わせユニットが、前記シミュレーションされた引き抜きデータからシミュレーションされた引き抜き圧曲線を、また、前記血管内引き抜きデータから血管内引き抜き圧曲線を導出するステップと、
前記重ね合わせユニットが、前記シミュレーションされた引き抜き圧曲線と、前記血管内引き抜き圧曲線とを比較して、該シミュレーションされた引き抜き圧曲線と該血管内引き抜き圧曲線との間の少なくとも1つの不一致を識別するステップと、
前記重ね合わせユニットが、前記少なくとも1つの不一致を出力するステップと、
を有する、方法。 - 前記装置が、モデル化ユニットと決定ユニットとを更に有し、
前記モデル化ユニットが、前記関心血管の前記少なくとも1つの診断画像を受信するステップと、
前記モデル化ユニットが、前記関心血管の前記少なくとも1つの診断画像をセグメント化するステップと、
前記モデル化ユニットが、前記セグメント化に基づいて前記生理学的モデルを生成するステップと、
前記決定ユニットが、前記シミュレーションされた引き抜きデータを前記流体力学的モデルに基づいて決定するステップと、
を更に有する、請求項11に記載の方法。 - 前記装置が、計算ユニットと表示ユニットとを更に有し、
前記計算ユニットが、前記シミュレーションされた引き抜きデータ及び前記血管内引き抜きデータを計算するステップと、
前記表示ユニットが、前記シミュレーションされた引き抜きデータ及び前記血管内引き抜きデータを少なくとも1つの血管情報と一緒に表示するステップと、
を更に有する、請求項11に記載の方法。 - 請求項11から13の何れか一項に記載の方法を実行させる、コンピュータプログラム。
- 請求項14に記載のコンピュータプログラムを記憶した、コンピュータ読取可能な媒体。
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EP17190022.8 | 2017-09-08 | ||
EP17190022.8A EP3453326A1 (en) | 2017-09-08 | 2017-09-08 | Registration and comparison of measured and simulated intracoronary pullback curves |
PCT/EP2018/073916 WO2019048508A2 (en) | 2017-09-08 | 2018-09-06 | MIXING AND COMPARISON OF MEASURED AND SIMULATED INTRACORONAL WITHDRAWAL CURVES |
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CN113616160B (zh) * | 2021-09-14 | 2024-02-06 | 苏州博动戎影医疗科技有限公司 | 基于多模态医学影像的ffr确定方法、装置、设备及介质 |
CN116206162B (zh) * | 2023-04-28 | 2023-08-01 | 杭州脉流科技有限公司 | 基于造影影像的冠脉血流储备获取方法、装置及设备 |
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US9265473B2 (en) * | 2012-09-25 | 2016-02-23 | The Johns Hopkins University | Method for estimating flow rates and pressure gradients in arterial networks from patient specific computed tomography angiogram-based contrast distribution data |
EP2873371B1 (en) * | 2013-11-13 | 2022-12-21 | Pie Medical Imaging BV | Method and system for registering intravascular images |
US9595089B2 (en) * | 2014-05-09 | 2017-03-14 | Siemens Healthcare Gmbh | Method and system for non-invasive computation of hemodynamic indices for coronary artery stenosis |
US9747525B2 (en) * | 2014-06-16 | 2017-08-29 | Siemens Healthcare Gmbh | Method and system for improved hemodynamic computation in coronary arteries |
US11141123B2 (en) * | 2014-12-02 | 2021-10-12 | Koninklijke Philips N.V. | Fractional flow reserve determination |
ITUB20154834A1 (it) | 2015-11-03 | 2017-05-03 | Slayer Blades S R L | Lama azionabile a rotazione, particolarmente per macchine affettatrici industriali automatiche. |
WO2017076620A1 (en) * | 2015-11-05 | 2017-05-11 | Koninklijke Philips N.V. | Collateral flow modelling for non-invasive fractional flow reserve (ffr) |
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JP2016507280A (ja) | 2012-12-31 | 2016-03-10 | ヴォルカノ コーポレイションVolcano Corporation | 管の評価のための装置、システム、及び方法 |
US20160135787A1 (en) | 2014-11-14 | 2016-05-19 | Volcano Corporation | Percutaneous coronary intervention (pci) planning interface and associated devices, systems, and methods |
US20170032097A1 (en) | 2015-07-27 | 2017-02-02 | Siemens Medical Solutions Usa, Inc. | Method and System for Enhancing Medical Image-Based Blood Flow Computations Using Physiological Measurements |
WO2017055228A1 (en) | 2015-09-29 | 2017-04-06 | Koninklijke Philips N.V. | Estimating flow, resistance or pressure from pressure or flow measurements and angiography |
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WO2019048508A3 (en) | 2019-11-28 |
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EP3678546B1 (en) | 2022-11-09 |
EP3678546A2 (en) | 2020-07-15 |
JP2020533058A (ja) | 2020-11-19 |
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US11678855B2 (en) | 2023-06-20 |
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