JP6850606B2 - 自動超音波ビームステアリング及びニードルアーチファクト抑制 - Google Patents
自動超音波ビームステアリング及びニードルアーチファクト抑制 Download PDFInfo
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Description
Claims (7)
- 分類に基づく医用画像特定装置であって、
超音波から、医療器具を描出する画像を収集するように構成される超音波画像収集デバイスと、
動的に前記収集に応じて、前記画像から導出される情報に関して動作することによって前記器具をセグメント化するため、機械学習に基づく分類を使用するように構成される機械学習に基づく分類回路と
を有し、
前記回路は、ブースティングされる分類子を有し、前記セグメント化のために前記分類子を使用するように構成され、
前記超音波画像収集デバイスを介して、前記器具の対応する描出のための現在の超音波ビームの前記器具への入射角度が90度より小さい場合、前記超音波ビームの前記器具への入射角度の範囲に渡って漸増的に、スイープにおいて前記収集をユーザ介入の必要なしで自動的に動的に実行し、前記描出のセグメント化は動的に前記漸増的な収集に応じるように構成され、
ライン検出アルゴリズムを前記描出の各々の一つに対する前記セグメント化の出力に前記漸増毎に適用するように更に構成され、前記器具の方向を導出するため前記アルゴリズムの出力を加えるように更に構成され、
前記回路は、前記器具のパターン認識及び体組織のパターン認識の両方についてトレーニングされている、機械学習に基づく分類のための前記分類子を有し、
前記装置はディスプレイを更に有し、前記セグメント化は、バイナリピクセルマップを形成するものであり、前記分類子は、前記器具の侵入ポイントに前記器具のピクセル又は前記体組織のピクセルの何れかが割り当てられる前記バイナリピクセルマップを出力し、前記現在の超音波ビームの前記器具への入射角度が90度である場合、前記装置は、合成画像を形成するために前記バイナリピクセルマップの前記器具のピクセルを超音波画像上に重ね合わせ、前記ディスプレイを介して前記合成画像を視覚化するように構成される、
装置。 - 前記使用は、ウェーブレット特徴量のパラメータの統計的ブースティングを実行することを有する、請求項1に記載の装置。
- 前記描出の前記セグメント化の結果に基づいて前記器具の方向を動的に決定するように更に構成される、請求項1に記載の装置。
- 前記器具は医用ニードルである、請求項1に記載の装置。
- 前記装置は、治療及び医療診断の少なくとも一つにおける使用のために設計される、請求項4に記載の装置。
- 前記デバイスは前記ディスプレイを介した前記体組織の動的な視覚化のスパンを空間的に規定するための視野を持つ超音波イメージングプローブを有し、前記装置は動作のニードル-存在-検出モードを備え、前記モードの間、前記セグメント化の出力に基づいて、前記ニードルが前記視野内に部分的にさえ存在しないことをユーザ介入の必要なしで自動的に決定するように更に構成される、請求項4に記載の装置。
- 動的に前記収集に応じて、前記画像に関して動作することによる前記画像からの前記情報の前記導出を実行するように構成される、請求項1に記載の装置。
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US201361918912P | 2013-12-20 | 2013-12-20 | |
US61/918,912 | 2013-12-20 | ||
US201462019087P | 2014-06-30 | 2014-06-30 | |
US62/019,087 | 2014-06-30 | ||
PCT/IB2014/066411 WO2015092582A1 (en) | 2013-12-20 | 2014-11-28 | Automatic ultrasound beam steering and needle artifact suppression |
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JP2019093830A Division JP6857685B2 (ja) | 2013-12-20 | 2019-05-17 | 自動超音波ビームステアリング及びニードルアーチファクト抑制 |
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JP2017503548A JP2017503548A (ja) | 2017-02-02 |
JP2017503548A5 JP2017503548A5 (ja) | 2020-10-08 |
JP6850606B2 true JP6850606B2 (ja) | 2021-03-31 |
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JP2016539043A Active JP6850606B2 (ja) | 2013-12-20 | 2014-11-28 | 自動超音波ビームステアリング及びニードルアーチファクト抑制 |
JP2019093830A Active JP6857685B2 (ja) | 2013-12-20 | 2019-05-17 | 自動超音波ビームステアリング及びニードルアーチファクト抑制 |
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US (1) | US20160317118A1 (ja) |
EP (1) | EP3082615B1 (ja) |
JP (2) | JP6850606B2 (ja) |
CN (1) | CN106413565B (ja) |
WO (1) | WO2015092582A1 (ja) |
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US11638569B2 (en) * | 2018-06-08 | 2023-05-02 | Rutgers, The State University Of New Jersey | Computer vision systems and methods for real-time needle detection, enhancement and localization in ultrasound |
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WO2021058288A1 (en) * | 2019-09-26 | 2021-04-01 | Koninklijke Philips N.V. | Automatic closed-loop ultrasound plane steering for target localization in ultrasound imaging and associated devices, systems, and methods |
US20210100530A1 (en) * | 2019-10-04 | 2021-04-08 | GE Precision Healthcare LLC | Methods and systems for diagnosing tendon damage via ultrasound imaging |
WO2022071326A1 (ja) * | 2020-09-29 | 2022-04-07 | テルモ株式会社 | 情報処理装置、学習済モデルの生成方法および訓練データ生成方法 |
WO2023054467A1 (ja) * | 2021-09-30 | 2023-04-06 | テルモ株式会社 | モデル生成方法、学習モデル、コンピュータプログラム、情報処理方法及び情報処理装置 |
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JP2017503548A (ja) | 2017-02-02 |
CN106413565B (zh) | 2019-12-17 |
US20160317118A1 (en) | 2016-11-03 |
JP6857685B2 (ja) | 2021-04-14 |
EP3082615A1 (en) | 2016-10-26 |
CN106413565A (zh) | 2017-02-15 |
WO2015092582A1 (en) | 2015-06-25 |
EP3082615B1 (en) | 2019-11-27 |
JP2019147007A (ja) | 2019-09-05 |
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