JP2022047609A - 超音波診断装置、計測条件設定方法及びプログラム - Google Patents
超音波診断装置、計測条件設定方法及びプログラム Download PDFInfo
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Abstract
Description
102 装置本体
104 操作部
106 表示部
110 送受信部
112 超音波画像生成部
114 計測条件設定部
116 計測部
118 制御部
120 計測部位設定部
122 計測項目設定部
124 計測範囲設定部
200 学習装置
202 教師データ生成部
204 学習部
206 記憶部
208 推論部
Claims (15)
- 被検者の超音波画像データを生成する生成部と、
超音波画像データに対して設定された計測条件を教師データとして学習された学習済みモデルを用いて、前記被検者の超音波画像データに対する計測条件候補を推論する推論部と、
前記推論部において推論された前記計測条件候補を用いて、前記被検者の超音波画像データに対して計測条件を設定する計測条件設定部と、
前記計測条件設定部で設定された前記計測条件に基づいて、前記被検者の超音波画像データに対して計測を行う計測部とを備えることを特徴とする超音波診断装置。 - 超音波画像データにおける計測条件を教師データとして学習し、前記学習済みモデルを生成する学習装置を備えることを特徴とする請求項1に記載の超音波診断装置。
- 前記表示部においてフリーズされた超音波画像データに対して計測条件が設定されている場合、前記表示部に表示されている超音波画像データと計測条件が学習装置に出力されることを特徴とする請求項2に記載の超音波診断装置。
- 前記学習装置は、前記表示部においてフリーズされた超音波画像データに計測条件が設定されているか否かを、前記超音波画像データに表示される計測範囲の有無に基づいて判別することを特徴とする請求項2に記載の超音波診断装置。
- 前記学習装置は、ニューラルネットワークを用いて、前記超音波画像データに対する前記計測条件を教師データとして対応づけて学習することにより学習済みモデルを生成することを特徴とする請求項2に記載の超音波診断装置。
- 前記学習装置において生成された学習済みモデルを記憶する記憶部を備えることを特徴とする請求項2に記載の超音波診断装置。
- 前記学習装置は、超音波診断装置の外部に設置されていることを特徴とする請求項2に記載の超音波診断装置。
- 前記学習装置は、複数の超音波診断装置において設定された計測条件を教師データとして学習することを特徴とする請求項7に記載の超音波診断装置。
- 複数の計測部位に分類されている超音波画像データの教師データに基づく第一の学習済みモデルと、前記複数の計測部位に対応する計測項目及び計測範囲に関する教師データに基づく第二の学習済みモデルを記憶する記憶部を備えていることを特徴とする請求項1に記載の超音波診断装置。
- 前記推論部は、前記第一の学習済みモデルを用いて、新たに生成された超音波画像データに対して計測部位を識別するとともに、前記第二の学習済みモデルを用いて、前記計測部位に対応する前記計測範囲を推論することを特徴とする請求項9に記載の超音波診断装置。
- 前記推論部において推論された複数の計測条件候補から1つの計測条件候補を選択する選択手段を備えることを特徴とする請求項1に記載の超音波診断装置。
- 前記計測条件は、前記被検者の計測部位における計測範囲を含むことを特徴とする請求項1に記載の超音波診断装置。
- 前記計測範囲は、直線若しくは曲線からなる範囲であることを特徴とする請求項12に記載の超音波診断装置。
- 被検者の超音波画像データを生成するステップと
超音波画像データに対して設定された計測条件を教師データとして学習された学習済みモデルを用いて、前記被検者の超音波画像データに対する計測条件候補を推論するステップと、
該推論された計測条件候補を用いて、前記被検者の超音波画像データに対して計測条件を設定するステップとを有する計測条件設定方法。 - 請求項14の計測条件設定方法をコンピュータに実行させるためのプログラム。
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US17/470,583 US20220079553A1 (en) | 2020-09-14 | 2021-09-09 | Ultrasound diagnosis apparatus, measurement condition setting method, and non-transitory computer-readable storage medium |
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