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    • 3. 发明申请
    • CHOOSING ANATOMICAL VARIANT MODEL FOR IMAGE SEGMENTATION
    • 选择用于图像分割的解剖学变体模型
    • WO2012035488A1
    • 2012-03-22
    • PCT/IB2011/053991
    • 2011-09-13
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHLORENZ, CristianBARSCHDORF, HansKLINDER, TobiasHANNA, Raghed
    • LORENZ, CristianBARSCHDORF, HansKLINDER, TobiasHANNA, Raghed
    • G06T7/00
    • G06T7/0012G06T7/12G06T7/149G06T15/08G06T17/00G06T2207/30004
    • The invention relates to a system (100) for segmenting an object in an image, comprising a first adapter (110) for adapting a first model for segmenting the object to the image, an analyzer (115) for extracting a feature from the image based on the adapted first model, a selector (120) for selecting a second model for segmenting the object from a plurality of models for segmenting the object, based on the feature extracted from the image, wherein the second model comprises additional detail of the object, an initializer (125) for initializing the second model based on the adapted first model and/or the feature extracted from the image, and a second adapter (130) for adapting the initialized second model to the image. The features extracted from the image based on the adapted first model help the system (100) to select the second model for segmenting the object from a plurality of models for segmenting the object. The adapted first model and/or the extracted features are also used for initializing the second model. Because the second model comprises the additional detail of the object, the segmentation result using the second model is more complete than the segmentation result obtained using the first model. Moreover, the initialization of the second model based on the adapted first model and/or the detected features improves the accuracy of the second model adaptation.
    • 本发明涉及一种用于分割图像中的对象的系统(100),包括用于适配用于将对象分割成图像的第一模型的第一适配器(110),用于从图像中提取特征的分析器(115) 在适配的第一模型上,基于从图像提取的特征,选择器(120),用于从多个模型中选择用于分割对象的第二模型,用于分割对象,其中第二模型包括对象的附加细节, 用于基于所述适配的第一模型和/或从所述图像提取的特征来初始化所述第二模型的初始化器(125)和用于将所述初始化的第二模型适配到所述图像的第二适配器(130)。 基于适配的第一模型从图像提取的特征帮助系统(100)选择用于从多个模型分割对象的第二模型以分割对象。 适应的第一模型和/或提取的特征也用于初始化第二模型。 因为第二模型包括对象的附加细节,所以使用第二模型的分割结果比使用第一模型获得的分割结果更完整。 此外,基于适应的第一模型和/或检测到的特征的第二模型的初始化提高了第二模型适应的准确性。
    • 10. 发明申请
    • AUTOMATIC POINT-WISE VALIDATION OF RESPIRATORY MOTION ESTIMATION
    • 呼吸运动估计的自动点智慧验证
    • WO2012004742A1
    • 2012-01-12
    • PCT/IB2011/052971
    • 2011-07-05
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHKABUS, SvenKLINDER, TobiasLORENZ, Cristian
    • KABUS, SvenKLINDER, TobiasLORENZ, Cristian
    • G06T7/00G06T7/20G06T3/00
    • G06T7/20G06T3/0081G06T7/0016G06T7/30G06T2207/10081G06T2207/30061
    • A system for validating motion estimation comprising a field unit (110) for obtaining a deformation vector field (DVF) estimating the motion by transforming a first image at a first phase of the motion into a second image at a second phase of the motion, a metric unit (120) for computing a metric of a local volume change at a plurality of locations, and a conformity unit(130) for computing a conformity measure based on the computed metric of the local volume change at the plurality of locations and a local property of the first or second image defined at the plurality of locations. Based on the value of the conformity measure, the DFV estimating the motion is validated. Experiments show that the conformity measure based on the computed metric of a local volume change at a plurality of locations and the local property of the first or second image, defined at the plurality of locations, does not necessarily favor a large weight for the outer force to provide a more accurate registration. One reason for this observation may be that large deformations providing more accurate alignment often lead to deformations resulting in unreasonably large volume changes. DVFs comprising such deformations thus are more likely to be discarded by the system of the invention.
    • 一种用于验证运动估计的系统,包括:场单元(110),用于通过在运动的第二阶段将运动的第一阶段的第一图像变换为第二图像来获得估计运动的变形矢量场(DVF); 用于计算多个位置处的本地卷变化的度量的度量单位(120),以及用于基于所计算的所述多个位置处的本地卷变化的度量的度量单位(130)以及局部 在多个位置定义的第一或第二图像的属性。 根据合格度的值,对运动的DFV进行了验证。 实验表明,基于多个位置处的局部体积变化的计算度量和在多个位置处限定的第一或第二图像的局部属性的一致性度量不一定有利于外力的大重量 提供更准确的注册。 这种观察的一个原因可能是提供更精确对准的大变形通常导致变形,导致不合理地大的体积变化。 包括这种变形的DVF因此更可能被本发明的系统丢弃。