JP2020191063A - 医療映像のメタデータ予測装置および方法 - Google Patents
医療映像のメタデータ予測装置および方法 Download PDFInfo
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Abstract
Description
Claims (18)
- 学習(training)のための複数の医療映像、および前記複数の医療映像のそれぞれにマッチングされたメタデータに基づいて、医療映像のメタデータを予測する予測モデルを学習する段階;および
前記学習された予測モデルを利用して、入力された医療映像に対するメタデータを予測する段階を含む、医療映像分析方法。 - 前記メタデータは、
前記医療映像に含まれた客体に関連した情報、前記医療映像の撮影環境についての情報、および前記医療映像の表示方法に関連した情報のうちの少なくとも一つを含む、請求項1に記載の医療映像分析方法。 - 前記医療映像に含まれた客体に関連した情報は、前記医療映像に含まれた身体部位の情報、および患者についての情報のうちの少なくとも一つを含み、
前記医療映像の撮影環境についての情報は、前記医療映像のモダリティー情報(modality information)、および前記医療映像の撮影方式についての情報のうちの少なくとも一つを含み、
前記医療映像の表示方法に関連した情報は、前記医療映像についてのウインドウセンター(window center)情報、ウインドウ幅(window width)情報、色相反転情報、映像の回転情報、および映像の反転情報のうちの少なくとも一つを含むことを特徴とする、請求項2に記載の医療映像分析方法。 - 前記予測モデルを学習する段階は、
前記学習のための複数の医療映像のそれぞれについてのDICOM(Digital Imaging and Communications in Medicine)ヘッダの標準データ要素(Standard Data Elements)から、前記複数の医療映像のそれぞれにマッチングされる、複数のメタデータを獲得する段階;および
前記学習のための複数の医療映像、および、前記獲得された複数のメタデータを利用して、前記予測モデルを学習する段階を含む、請求項1に記載の医療映像分析方法。 - 前記入力された医療映像に対して予測されたメタデータを、前記入力された医療映像にマッチングさせて保存する段階をさらに含む、請求項1に記載の医療映像分析方法。
- 前記保存する段階は、
前記予測されたメタデータを、前記入力された医療映像のDICOM(Digital Imaging and Communications in Medicine)ヘッダに保存する段階を含む、請求項5に記載の医療映像分析方法。 - 前記入力された医療映像から異常(anomaly)を検出するために、前記予測されたメタデータに基づいて、前記入力された医療映像を調整(adjust)する段階をさらに含む、請求項1に記載の医療映像分析方法。
- 前記入力された医療映像を調整する段階は、
前記予測されたメタデータに基づいて、前記入力された医療映像についてのウインドウセンター、ウインドウ幅、色相、および出力方向のうちの少なくとも一つを調整する段階を含む、請求項7に記載の医療映像分析方法。 - 前記学習のための複数の医療映像、および前記入力された医療映像は、DICOM(Digital Imaging and Communications in Medicine)標準に対応する映像である、請求項1に記載の医療映像分析方法。
- 医療映像分析装置はプロセッサおよびメモリを含み、
前記プロセッサは前記メモリに保存された命令語に基づいて、
学習(training)のための複数の医療映像、および前記複数の医療映像のそれぞれにマッチングされたメタデータに基づいて、医療映像のメタデータを予測する予測モデルを学習する段階;および
前記学習された予測モデルを利用して、入力された医療映像に対するメタデータを予測する段階を遂行する、医療映像分析装置。 - 前記メタデータは、
前記医療映像に含まれた客体に関連した情報、前記医療映像の撮影環境についての情報、および前記医療映像の表示方法に関連した情報のうちの少なくとも一つを含む、請求項10に記載の医療映像分析装置。 - 前記医療映像に含まれた客体に関連した情報は、前記医療映像に含まれた身体部位の情報、および患者についての情報のうちの少なくとも一つを含み、
前記医療映像の撮影環境についての情報は、前記医療映像のモダリティー情報(modality information)、および前記医療映像の撮影方式についての情報のうちの少なくとも一つを含み、
前記医療映像の表示方法に関連した情報は、前記医療映像についてのウインドウセンター(window center)情報、ウインドウ幅(window width)情報、色相反転情報、映像の回転情報、および映像の反転情報のうちの少なくとも一つを含むことを特徴とする、請求項11に記載の医療映像分析装置。 - 前記プロセッサは前記メモリに保存された命令語に基づいて、
前記学習のための複数の医療映像のそれぞれについてのDICOM(Digital Imaging and Communications in Medicine)ヘッダの標準データ要素(Standard Data Elements)から、前記複数の医療映像のそれぞれにマッチングされる複数のメタデータを獲得する段階;および
前記学習のための複数の医療映像、および前記獲得された複数のメタデータを利用して、前記予測モデルを学習する段階をさらに遂行する、請求項10に記載の医療映像分析装置。 - 前記プロセッサは、前記メモリに保存された命令語に基づいて、
前記入力された医療映像に対して予測されたメタデータを、前記入力された医療映像にマッチングさせて保存する段階をさらに遂行する、請求項10に記載の医療映像分析装置。 - 前記プロセッサは、前記メモリに保存された命令語に基づいて、
前記予測されたメタデータを、前記入力された医療映像のDICOM(Digital Imaging and Communications in Medicine)ヘッダに保存する段階をさらに遂行する、請求項14に記載の医療映像分析装置。 - 前記プロセッサは、前記メモリに保存された命令語に基づいて、
前記入力された医療映像から異常(anomaly)を検出するために、前記予測されたメタデータに基づいて、前記入力された医療映像を調整(adjust)する段階をさらに遂行する、請求項10に記載の医療映像分析装置。 - 前記プロセッサは、前記メモリに保存された命令語に基づいて、
前記予測されたメタデータに基づき、前記入力された医療映像についてのウインドウセンター、ウインドウ幅、色相および出力方向のうちの少なくとも一つを調整する段階をさらに遂行する、請求項16に記載の医療映像分析装置。 - 前記学習のための複数の医療映像および前記入力された医療映像は、DICOM(Digital Imaging and Communications in Medicine)標準に対応する映像である、請求項10に記載の医療映像分析装置。
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WO2023074184A1 (ja) * | 2021-10-28 | 2023-05-04 | パナソニックIpマネジメント株式会社 | アノテーション支援システム及びそれを利用した外観検査用モデルの学習支援システム |
WO2023074183A1 (ja) * | 2021-10-28 | 2023-05-04 | パナソニックIpマネジメント株式会社 | 学習支援システム、外観検査装置、外観検査用ソフトの更新装置及び外観検査用モデルの更新方法 |
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CN111986784A (zh) | 2020-11-24 |
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