JP5773398B2 - 動脈/組織/静脈の動態系の関心対象量を推定するためのシステムおよび方法 - Google Patents
動脈/組織/静脈の動態系の関心対象量を推定するためのシステムおよび方法 Download PDFInfo
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Description
・該当のボクセルにおける動脈/組織/静脈の動態系の関心対象量の推定に関係するパラメータに鑑みた灌流データの直接確率分布を割り当て、
・前記動態系のインパルス応答に関する完全不確実情報を導入し、最大エントロピーの原理を適用することで、前記量の結合事前確率分布を割り当てることによって前記関心対象量の事後周辺分布をベイズ法に従って評価することを含む。
・該当のボクセルにおける動脈/組織/静脈の動態系の関心対象量の推定に関係するパラメータに鑑みた灌流データの直接確率分布を割り当て、
・前記ボクセルにおける相補累積分布関数R(t)に関する完全不確実情報を導入し、最大エントロピーの原理を適用することで、前記量の結合事前確率分布を割り当てることによって前記関心対象量の事後周辺分布をベイズ法に従って評価することを含む。
・該当のボクセルにおける動脈/組織/静脈の動態系の関心対象量の推定の問題に関係するパラメータに鑑みた実験による灌流データの直接確率分布の割り当て、および
・前記量の結合事前確率分布の割り当ての産物の適切さの指標によって表される補足の情報を計算するステップを含むことができる。
c=[c(t1),…,c(tN)]Tは、ボクセルにおける造影剤の未知の理論上の濃度の値のベクトルであり、
s=[S(t1),…,S(tN)]Tは、灌流強調イメージングによる信号強度の実験による測定値の実または複素ベクトルであり、
ΘSは、S(t)をC(t)に結び付けるパラメータのベクトルであり、
ξ=[ξ(t1),…,ξ(tN)]Tは、前記測定信号における測定雑音のベクトルであり、
sa=[Sa(t1),…,Sa(tN)]Tは、実験による動脈入力信号Sa(t)の測定値のベクトルであり、
ΘSaは、Sa(t)をCa(t)に結び付けるパラメータのベクトルであり、
ξa=[ξa(t1),…,ξa(tN)]Tは、前記動脈信号における測定雑音のベクトルであり、
a=[Ca(t1),…,Ca(tN)]Tは、未知の理論上の動脈入力関数Ca(t)の値のベクトルであり、
Aは、矩形近似法、台形規則、あるいはSimpson法、Boole法、Gauss−Legendre法などのより高次の方法などによって畳み込み積分を数値的に近似することによって得られる未知の理論上の動脈入力関数aの値のベクトルに関する畳み込み行列である。Aは、cSVDおよびoSVDなどのような特異値の打ち切りにもとづく逆畳み込み法において使用されるような循環畳み込み行列であってもよい。
Claims (14)
- 器官のボクセルと呼ばれる単位容積において複数の動脈/組織/静脈の動態系の中から関心対象量(14)を推定(57)するために、灌流強調イメージング解析システムの処理ユニット(4)によって実行され、実験による灌流データ(15)から前記関心対象量を推定するステップを含んでいる方法であって、前記ステップが、
前記ボクセルにおける動脈/組織/静脈の動態系の関心対象量の推定に関係するパラメータに鑑みた実験による灌流データの直接確率分布の割り当て(54)を行うこと、および
前記動態系のインパルス応答に関する完全不確実情報の導入(51b)を行ない、最大エントロピーの原理を適用することで、前記量の結合事前確率分布の割り当て(53)を行なうことによって、前記関心対象量の事後周辺確率分布(56)をベイズ法に従って評価することを含むことを特徴とする方法。 - 器官のボクセルと呼ばれる単位容積において複数の動脈/組織/静脈の動態系の中から関心対象量(14)を推定(57)するために、灌流強調イメージング解析システムの処理ユニット(4)によって実行され、実験による灌流データ(15)から前記関心対象量を推定するステップを含んでおり、前記動態系は、線形であり、時不変であり、関係C(t)=BF・Ca(t)*R(t)によって形式的に決定され、ここでC(t)はボクセルを循環する造影剤の濃度であり、Ca(t)は前記ボクセルに流れ込む動脈における前記造影剤の濃度であり、BFは前記ボクセルにおける血流量であり、*は畳み込み積を表わし、R(t)は前記ボクセルにおける移動時間の相補累積分布関数である方法であって、前記ステップが、
前記ボクセルにおける動脈/組織/静脈の動態系の関心対象量の推定に関係するパラメータに鑑みた実験による灌流データの直接確率分布の割り当て(54)を行うこと、および
前記ボクセルにおける相補累積分布関数R(t)に関する完全不確実情報の導入(51b)を行ない、最大エントロピーの原理を適用することで、前記量の結合事前確率分布の割り当て(53)を行なうことによって、前記関心対象量の事後周辺確率分布(56)をベイズ法に従って評価することを含むことを特徴とする方法。 - 前記量の結合事前確率分布の割り当てが、ボクセルに流れ込む動脈における前記造影剤の濃度−時間曲線に関する完全不確実情報の導入(51c)によってさらに達成されることを特徴とする請求項2に記載の方法。
- 該当の複数のボクセルについての逐次の反復によって実行されることを特徴とする請求項1〜3のいずれか一項に記載の方法。
- 推定した関心対象量に関する信頼区間によって表わされる補足の情報を計算するステップ(58)を含むことを特徴とする請求項1〜4のいずれか一項に記載の方法。
- 推定した関心対象量に関する信頼区間への賭け率によって表わされる補足の情報を計算するステップ(59)を含むことを特徴とする請求項1〜5のいずれか一項に記載の方法。
- 該当のボクセルにおける動脈/組織/静脈の動態系の関心対象量の推定の問題に関係するパラメータに鑑みた実験による灌流データの直接確率分布の割り当て(54)、および
前記量の結合事前確率分布の割り当て(53)の産物の適切さの指標によって表わされる補足の情報を計算するステップ(60)を含むことを特徴とする請求項4に記載の方法。 - 推定した関心対象量(14)を、該関心対象量をユーザ(6)へと提供することができるヒューマン・マシン・インターフェイス(5)へともたらすステップを含むことを特徴とする請求項4〜7のいずれか一項に記載の方法。
- 前記推定した関心対象量に関する補足の情報を、該情報をユーザ(6)へと提供することができるヒューマン・マシン・インターフェイス(5)へともたらすステップを含むことを特徴とする請求項5〜8のいずれか一項に記載の方法。
- 実験による灌流データが、実験による灌流信号の値のベクトルまたは該ベクトルの濃度−時間曲線の値のベクトルへの変換を含むことを特徴とする請求項1〜9のいずれか一項に記載の方法。
- 記憶手段と、外界との通信手段と、処理手段とを備える処理ユニット(4)であって、
通信手段が、外界から実験による灌流データ(15)を受け取ることができ、
処理手段が、器官のボクセルと呼ばれる単位容積において複数の動脈/組織/静脈の動態系の中から関心対象量(14)を推定するための請求項1〜10のいずれか一項に記載の方法を実行するように構成されていることを特徴とする処理ユニット。 - 通信手段が、推定された関心対象量(14)を、該関心対象量をユーザ(6)へと提供することができるヒューマン・マシン・インターフェイス(5)に適したフォーマットでもたらす(57)ことを特徴とする請求項11に記載の処理ユニット。
- 通信手段が、推定された関心対象量(14)に関する補足の情報を、該情報をユーザ(6)へと提供することができるヒューマン・マシン・インターフェイス(5)に適したフォーマットでもたらす(58、59)ことを特徴とする請求項12に記載の処理ユニット。
- 請求項11〜13のいずれか一項に記載の処理ユニット(4)と、前記処理ユニット(4)によって実行される請求項1〜10のいずれか一項に記載の方法に従って、推定された量(14)をユーザ(6)へと提供することができるヒューマン・マシン・インターフェイス(5)とを備える灌流強調イメージング解析システム。
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FR2979453B1 (fr) * | 2011-08-26 | 2016-01-08 | Olea Medical | Systeme et procede pour estimer une quantite d'interet d'un systeme dynamique artere/tissu/veine |
FR2996667B1 (fr) * | 2012-10-05 | 2015-12-11 | Olea Medical | Systeme et procede pour estimer une quantite d'interet dans un systeme cinematique par tomographie par agent de contraste |
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US10542961B2 (en) | 2015-06-15 | 2020-01-28 | The Research Foundation For The State University Of New York | System and method for infrasonic cardiac monitoring |
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