JP5337018B2 - 分類基準に従った自動プラーク特性決定に基づく自動病変解析 - Google Patents
分類基準に従った自動プラーク特性決定に基づく自動病変解析 Download PDFInfo
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Description
本出願は、Margolisその他の、2006年3月22日に出願された、「Lesion Analysis Automatic Plaque Classification」と題する米国仮出願第60/785267号、およびMargolisその他の、2006年5月2日に出願された、「Lesion Analysis Rules」と題する米国仮出願第60/797333号の優先権を主張し、上記で特定された両方の仮出願の内容は、そこに含まれるすべての参考文献の内容および教示を含むその全体が、参照により明示的に本明細書に組み込まれる。
本発明は、一般に、イメージング・システムの分野に関し、より詳細には、血管の疾患を診断および治療するために使用される、血管内イメージング・システムに関する。
Claims (27)
- 血管内のプラークの分類を表す表示データを生成する方法であって、
組織特性決定アプリケーションにより、血管断面に関する超音波エコー情報のスペクトル解析から、特性決定された組織成分マップを提供するステップであって、前記特性決定された組織成分マップにおいて、異なるプラーク成分が、割り当てられた識別値により弁別される、ステップと、
プラーク分類アプリケーションにより、前記特性決定された組織成分マップの空間的に配置されたデータに、分類基準を適用するステップであって、前記分類基準は、前記血管断面内における融合性壊死性コアの、内腔とプラークの境界に関連した位置に基づいた規則を含むものである、適用するステップと、
前記適用するステップに応じて、前記血管断面に関連するプラーク分類を提供するステップと、
を備える方法。 - 請求項1に記載の方法であって、前記分類基準は、それぞれの血管断面に関するプラーク分類を提供する、方法。
- 請求項1に記載の方法であって、前記プラーク分類アプリケーションは、1組の階層的に構成された分類規則を適用する、方法。
- 請求項3に記載の方法であって、前記規則はデシジョン・トリーとして構成される、方法。
- 請求項3に記載の方法であって、トップレベルの決定は、関連するプラークの存在のある断面を自動的に識別し、前記関連するプラークの存在は、少なくとも最小プラーク厚さまたは狭窄に基づいて決定される、方法。
- 請求項1に記載の方法であって、前記分類基準は、融合性壊死性コアの存在に基づいた規則を含む、方法。
- 請求項6に記載の方法であって、前記分類基準は、融合性壊死性コアと融合性石灰化との付着に基づいた規則を含む、方法。
- 請求項6に記載の方法であって、前記分類基準は、サンプルに存在する線維脂肪物質のパーセンテージに基づいた規則を更に含む、方法。
- 請求項1に記載の方法であって、血管セグメントの断面に割り当てられたプラーク分類に従って表示される前記血管セグメントのグラフィカル表現を提供するステップを更に備える方法。
- 血管内のプラークの分類を容易にするためのコンピュータ実行可能命令を含むコンピュータ可読媒体であって、
前記コンピュータ実行可能命令が、
血管断面に関する超音波エコー情報のスペクトル解析から特性決定された組織成分マップを提供するステップであって、前記特性決定された組織成分マップにおいて、異なるプラーク成分が、割り当てられた識別値により弁別される、ステップと、
前記特性決定された組織成分マップの空間的に配置されたデータに、分類基準を適用するステップであって、前記分類基準は、前記血管断面内における融合性壊死性コアの、内腔とプラークの境界に関連した位置に基づいた規則を含むものである、適用するステップと、
前記適用するステップに応じて、前記血管断面に関連するプラーク分類を提供するステップと
を含む1組のステップの実行を容易にする、
コンピュータ可読媒体。 - 請求項10に記載のコンピュータ可読媒体であって、前記分類基準は、それぞれの血管断面に関するプラーク分類を提供する、コンピュータ可読媒体。
- 請求項10に記載のコンピュータ可読媒体であって、プラーク分類アプリケーションは、1組の階層的に構成された分類規則を適用する、コンピュータ可読媒体。
- 請求項12に記載のコンピュータ可読媒体であって、前記規則はデシジョン・トリーとして構成される、コンピュータ可読媒体。
- 請求項12に記載のコンピュータ可読媒体であって、トップレベルの決定は、関連するプラークの存在のある断面を自動的に識別し、前記関連するプラークの存在は、少なくとも最小プラーク厚さまたは狭窄に基づいて決定される、コンピュータ可読媒体。
- 請求項10に記載のコンピュータ可読媒体であって、前記分類基準は、融合性壊死性コアの存在に基づいた規則を含む、コンピュータ可読媒体。
- 請求項15に記載のコンピュータ可読媒体であって、前記分類基準は、融合性壊死性コアと融合性石灰化との付着に基づいた規則を含む、コンピュータ可読媒体。
- 請求項15に記載のコンピュータ可読媒体であって、前記分類基準は、サンプルに存在する線維脂肪物質のパーセンテージに基づいた規則を更に含む、コンピュータ可読媒体。
- 請求項10に記載のコンピュータ可読媒体であって、血管セグメントの断面に割り当てられたプラーク分類に従って表示される前記血管セグメントのグラフィカル表現を提供するステップを更に備える、コンピュータ可読媒体。
- 血管内のプラークを分類するためのシステムであって、
血管断面に関する超音波エコー情報のスペクトル解析から特性決定された組織成分マップを提供するための組織特性決定アプリケーションであって、前記特性決定された組織成分マップにおいて、異なるプラーク成分が、割り当てられた識別値により弁別される、組織特性決定アプリケーションと、
前記特性決定された組織成分マップの空間的に配置されたデータに分類基準を適用するため、および前記血管断面に関連するプラーク分類を提供するためのプラーク分類アプリケーションであって、前記分類基準は、前記血管断面内における融合性壊死性コアの、内腔とプラークの境界に関連した位置に基づいた規則を含むものである、プラーク分類アプリケーションと、
を備えるシステム。 - 請求項19に記載のシステムであって、前記分類基準は、それぞれの血管断面に関するプラーク分類を提供する、システム。
- 請求項19に記載のシステムであって、前記プラーク分類アプリケーションは、1組の階層的に構成された分類規則を適用する、システム。
- 請求項21に記載のシステムであって、前記規則はデシジョン・トリーとして構成される、システム。
- 請求項21に記載のシステムであって、トップレベルの決定は、関連するプラークの存在のある断面を自動的に識別し、前記関連するプラークの存在は、少なくとも最小プラーク厚さまたは狭窄に基づいて決定される、システム。
- 請求項19に記載のシステムであって、前記分類基準は、融合性壊死性コアの存在に基づいた規則を含む、システム。
- 請求項24に記載のシステムであって、前記分類基準は、融合性壊死性コアと融合性石灰化との付着に基づいた規則を含む、システム。
- 請求項24に記載のシステムであって、前記分類基準は、サンプルに存在する線維脂肪物質のパーセンテージに基づいた規則を更に含む、システム。
- 請求項19に記載のシステムであって、前記プラーク分類アプリケーションは、血管セグメントの断面に割り当てられたプラーク分類に従って表示される前記血管セグメントのグラフィカル表現を提供するグラフィカル出力プロセッサを更に備える、システム。
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US78526706P | 2006-03-22 | 2006-03-22 | |
US60/785,267 | 2006-03-22 | ||
US79733306P | 2006-05-02 | 2006-05-02 | |
US60/797,333 | 2006-05-02 | ||
PCT/US2007/064698 WO2007109771A2 (en) | 2006-03-22 | 2007-03-22 | Automated lesion analysis based upon automatic plaque characterization according to a classification criterion |
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