JP2017510406A - 画像内における血管構造の抑制 - Google Patents
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Abstract
Description
Claims (23)
- 1又は複数の画像又は画像ボリュームを表すデータから、1又は複数の画像要素を得る方法であって、
処理済みデータを得るべく前記データを正規化及び前処理する段階と、
抽出された複数の特徴から構成されるセットを得るべく、前記処理済みデータから複数の特徴を抽出する段階と、
標的データのセットに基づいて1又は複数の要素を予測するべく、抽出された複数の特徴から構成される前記セットに基づく少なくとも1つのモデルを使用してモデルベース予測を実行する段階と
を備える、
方法。 - 前記1又は複数の要素が除去された予測出力を得る段階を更に含む、請求項1に記載の方法。
- 前記モデルベース予測によって予測される1又は複数の要素を前記データから差し引いて、前記1又は複数の要素が除去されたデータを得る段階を更に備える、請求項1または2に記載の方法。
- 前記データがX線写真のCTシリーズを有し、1又は複数の要素が複数の血管要素のみを含む、請求項1から3のいずれか一項に記載の方法。
- 前記データがX線写真のCTシリーズを有し、前記1又は複数の要素が複数の小結節構造のみを含む、請求項1から4のいずれか一項に記載の方法。
- 前記標的データを生成するべく、複数のオリジナルボリューム、複数の生体構造抑制ボリューム、又はその両方を使用する前に、複数のシミュレートされた小結節、複数の測定された小結節、又はその両方を、前記複数のオリジナルボリューム、複数の生体構造抑制ボリューム、又はその両方に挿入する段階を更に備える、請求項1から5のいずれか一項に記載の方法。
- 前記正規化及び前処理が、ノイズ抑制を実行してノイズ抑制データを得る段階と、前記ノイズ抑制データ上でバンドパス分解を実行する段階とを有する、請求項1から6のいずれか一項に記載の方法。
- 前記正規化及び前処理が、前記バンドパス分解の少なくとも1つの結果上で、少なくとも1つの操作を実行する段階を更に有し、前記少なくとも1つの操作が、グレースケールのレジストレーション及び強調からなる群から選択される、請求項7に記載の方法。
- 前記正規化及び前処理が、データをサイズ調整して標的のサイズ調整済みデータを得る段階を有する、請求項1から8の何れか一項に記載の方法。
- 前記複数の特徴を抽出することが、異なる複数のスケールにわたり複数のガウス導関数を得る段階を有する、請求項1から9の何れか一項に記載の方法。
- 前記モデルベース予測を実行することが、
複数の予測モデルを適用して1又は複数のボリュームボクセルに関する複数の抑制された予測を得る段階と、
前記複数の抑制された予測を統合して統合された見積もりを得る段階と
を有する、請求項1から10の何れか一項に記載の方法。 - 前記複数の抑制された予測を前記統合することが、前記複数の抑制された予測を平均化する段階、又は、指定された費用関数に基づき、最適な抑制された予測を選択する段階のうち、少なくとも1つを有する、請求項11に記載の方法。
- 前記モデルベース予測を実行することが、
複数の画像ゾーンに対応する複数の予測モデルを適用し、前記複数の画像ゾーンのピクセル/ボクセルの複数の予測を得る段階を有し、
前記複数の画像ゾーンが、生体構造の位置、複数のボクセル濃度値、又はその両方に基づいて定義される、
請求項1から12の何れか一項に記載の方法。 - 前記正規化及び前記前処理を実施することと、前記複数の特徴を抽出することと、前記モデルベース予測を実行することとを実施するべく、複数のソフトウェア命令をダウンロードする段階を更に備える、請求項1から13の何れか一項に記載の方法。
- データを正規化及び前処理して、処理済みデータを得る段階と、
前記処理済みデータから複数の特徴を抽出して、複数の抽出された特徴のセットを得る段階と、
前記複数の抽出された特徴のセットに基づく少なくとも1つのモデルを使用することでモデルベース予測を実行して、標的データのセットに基づく1又は複数の要素を予測する段階と、
を有する複数の操作をコンピュータに実施させるよう設計された複数の命令を備えるプログラム。 - 前記複数の操作は、1又は複数の要素が除去された予測出力を得る段階を更に有する、請求項15に記載のプログラム。
- 前記複数の操作が更に、1又は複数の要素を前記データから差し引き、前記1又は複数の要素が除去されたデータを得る段階を有する、請求項15または16に記載のプログラム。
- 前記1又は複数の画像、又は複数の画像ボリュームが、X線写真の画像を有し、前記1又は複数の要素が、そのようなX線写真の画像で通常見られる1又は複数の構造を有する、請求項1から14の何れか一項に記載の方法。
- 請求項1に記載の方法によって得られた生体構造抑制ボリュームを使用する段階を備える、代替的な投影を構築する方法。
- 前記代替的な投影を表示する段階を更に備える、請求項19に記載の方法。
- 異なるボリュームとともに、前記生体構造抑制ボリュームの疾患検出、分割、又はレジストレーションを実行する段階を更に備える、請求項19または20に記載の方法。
- 前記代替的な投影を使用することで、前記データを得るのに使用されるモダリティと異なるモダリティからの第2データとともに前記データのレジストレーションを行う段階を更に備える請求項19から21の何れか一項に記載の方法。
- 少なくとも1つのプロセッサと、
請求項15から17の何れか一項に記載のプログラムと、
を備える装置。
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US201461971042P | 2014-03-27 | 2014-03-27 | |
US61/971,042 | 2014-03-27 | ||
US14/665,652 | 2015-03-23 | ||
US14/665,652 US9990743B2 (en) | 2014-03-27 | 2015-03-23 | Suppression of vascular structures in images |
PCT/US2015/022184 WO2015148469A1 (en) | 2014-03-27 | 2015-03-24 | Suppression of vascular structures in images |
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JP6570145B2 JP6570145B2 (ja) | 2019-09-04 |
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US (1) | US9990743B2 (ja) |
EP (1) | EP3122425A4 (ja) |
JP (1) | JP6570145B2 (ja) |
CN (1) | CN106573150B (ja) |
WO (1) | WO2015148469A1 (ja) |
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