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1. 发明申请

WO2010067219A1 SYNOPSIS OF MULTIPLE SEGMENTATION RESULTS FOR BREAST LESION CHARACTERIZATION 审中-公开
标题翻译：关于乳腺切片特征的多重分期结果概述
公开(公告)号：WO2010067219A1
公开(公告)日：2010-06-17
申请号：PCT/IB2009/055105
申请日：2009-11-16
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH , BUELOW, Thomas , WIEMKER, Rafael , BERGTHOLDT, Martin , MEINEL, Lina, Arabash
发明人： BUELOW, Thomas , WIEMKER, Rafael , BERGTHOLDT, Martin , MEINEL, Lina, Arabash
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/136 , G06T2207/10096 , G06T2207/30096
摘要： When characterizing a tumor or lesion as malignant or benign, a system (10) receives an image of the lesion volume (50), employs a processor (12) to perform a raw segmentation of the image, the results of which are stored to memory (14). Then processor then executes a hole-filling procedure to fill in dark areas in the image of the lesion representing necrotic tissue that absorbed little or no contrast agent, and optionally a leakage removal procedure to remove image voxels associated with non-lesion tissue, e.g., blood vessels, in which the contrast agent was present during imaging, to generate a complete lesion volume. A voxel analyzer (18) assesses a number of voxels included in the raw segmentation of the lesion image, and the final segmentation (e.g., after filling and optional leakage removal). A segmentation comparator (20) computes a ratio of dark area voxels related to necrotic tissue detected after the raw segmentation to total voxels detected in the final image segmentation. The ratio is then used to determine a likelihood of malignancy, with a higher ratio indicating a higher likelihood.
摘要翻译：当将肿瘤或病变描绘为恶性或良性时，系统（10）接收病变体积（50）的图像，使用处理器（12）执行图像的原始分割，其结果存储到存储器（14）。然后，处理器然后执行填充填充程序以填充代表坏死组织的损伤图像中的暗区域，其吸收很少或没有造影剂，以及可选地泄漏去除程序以去除与非损伤组织相关联的图像体素，在成像期间存在造影剂的血管，以产生完整的病变体积。体素分析器（18）评估包括在损伤图像的原始分割中的多个体素，以及最终分割（例如在填充和可选的泄漏移除之后）。分割比较器（20）计算与原始分割之后检测到的坏死组织相关的暗区域体素与在最终图像分割中检测到的总体素的比率。然后将该比率用于确定恶性肿瘤的可能性，其中较高的比率表明更高的可能性。

2. 发明公开

EP2377097A1 SYNOPSIS OF MULTIPLE SEGMENTATION RESULTS FOR BREAST LESION CHARACTERIZATION 审中-公开
标题翻译：概要MEHRERER SEGMENTIERUNGSERGEBNISSE ZUR BRUSTVERNDUNUNGSCHARAKTERISIERUNG
公开(公告)号：EP2377097A1
公开(公告)日：2011-10-19
申请号：EP09796811.9
申请日：2009-11-16
申请人： Koninklijke Philips Electronics N.V. , Philips Intellectual Property & Standards GmbH
发明人： BUELOW, Thomas , WIEMKER, Rafael , BERGTHOLDT, Martin , MEINEL, Lina, Arabash
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/136 , G06T2207/10096 , G06T2207/30096
摘要： When characterizing a tumor or lesion as malignant or benign, a system (10) receives an image of the lesion volume (50), employs a processor (12) to perform a raw segmentation of the image, the results of which are stored to memory (14). Then processor then executes a hole-filling procedure to fill in dark areas in the image of the lesion representing necrotic tissue that absorbed little or no contrast agent, and optionally a leakage removal procedure to remove image voxels associated with non-lesion tissue, e.g., blood vessels, in which the contrast agent was present during imaging, to generate a complete lesion volume. A voxel analyzer (18) assesses a number of voxels included in the raw segmentation of the lesion image, and the final segmentation (e.g., after filling and optional leakage removal). A segmentation comparator (20) computes a ratio of dark area voxels related to necrotic tissue detected after the raw segmentation to total voxels detected in the final image segmentation. The ratio is then used to determine a likelihood of malignancy, with a higher ratio indicating a higher likelihood.
摘要翻译：当将肿瘤或病变表征为恶性或良性时，系统（10）接收病变体积（50）的图像，使用处理器（12）执行图像的原始分割，其结果存储到存储器（14）。然后，处理器然后执行填充程序，以填充代表坏死组织的损伤图像中的暗区域，所述坏死组织吸收很少或没有造影剂，以及任选的泄漏去除程序以去除与非损伤组织相关联的图像体素，在成像期间存在造影剂的血管，以产生完整的病变体积。体素分析器（18）评估包括在损伤图像的原始分割中的多个体素，以及最终分割（例如在填充和可选的泄漏移除之后）。分割比较器（20）计算与原始分割之后检测到的坏死组织相关的暗区域体素与在最终图像分割中检测到的总体素的比率。然后将该比率用于确定恶性肿瘤的可能性，较高的比率表明更高的可能性。

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