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    • 11. 发明授权
    • Associating acquired images with objects
    • 将获取的图像与对象相关联
    • US09014448B2
    • 2015-04-21
    • US13516576
    • 2010-11-24
    • Thomas BuelowKirsten MeetzMartin BergtholdtJohannes BuurmanAxel Saalbach
    • Thomas BuelowKirsten MeetzMartin BergtholdtJohannes BuurmanAxel Saalbach
    • G06K9/00G06F19/00
    • G06F19/321G06F19/00G16H30/20
    • A system for associating acquired images with objects is disclosed. It comprises an image selector (1) for selecting a stored image from a database (5) comprising a plurality of stored images, the database (5) comprising an association (21) between the stored image (6) and an object of interest; an image scanner (2) for acquiring a new image (9) comprising a representation (10) of at least part of the object of interest, during an imaging session; a user interface (3) for enabling a user, during the imaging session, to indicate that the new image (9) is to be associated with the object of interest; and an associating subsystem (4) for creating an association (23) between the new image (9) and the object of interest in the database. The user interface (3) is arranged for enabling a user to select the object of interest from a plurality of objects of interest associated with the stored image (6).
    • 公开了一种用于将获取的图像与对象相关联的系统。 它包括用于从包括多个存储的图像的数据库(5)中选择存储的图像的图像选择器(1),所述数据库(5)包括存储的图像(6)和感兴趣对象之间的关联(21) 用于在成像会话期间获取包括所述感兴趣对象的至少一部分的表示(10)的新图像(9)的图像扫描仪(2) 用于在成像会话期间使用户能够指示新图像(9)与感兴趣对象相关联的用户界面(3) 以及用于在新图像(9)和数据库中的感兴趣对象之间创建关联(23)的关联子系统(4)。 用户界面(3)被布置为使得用户能够从与所存储的图像(6)相关联的多个感兴趣对象中选择感兴趣的对象。
    • 14. 发明申请
    • ASSOCIATING ACQUIRED IMAGES WITH OBJECTS
    • 与对象相关的获取图像
    • US20120243765A1
    • 2012-09-27
    • US13516576
    • 2010-11-24
    • Thomas BuelowKirsten MeetzMartin BergtholdtJohannes BuurmanAxel Saalbach
    • Thomas BuelowKirsten MeetzMartin BergtholdtJohannes BuurmanAxel Saalbach
    • G06K9/00
    • G06F19/321G06F19/00G16H30/20
    • A system for associating acquired images with objects is disclosed. It comprises an image selector (1) for selecting a stored image from a database (5) comprising a plurality of stored images, the database (5) comprising an association (21) between the stored image (6) and an object of interest; an image scanner (2) for acquiring a new image (9) comprising a representation (10) of at least part of the object of interest, during an imaging session; a user interface (3) for enabling a user, during the imaging session, to indicate that the new image (9) is to be associated with the object of interest; and an associating subsystem (4) for creating an association (23) between the new image (9) and the object of interest in the database. The user interface (3) is arranged for enabling a user to select the object of interest from a plurality of objects of interest associated with the stored image (6).
    • 公开了一种用于将获取的图像与对象相关联的系统。 它包括用于从包括多个存储的图像的数据库(5)中选择存储的图像的图像选择器(1),所述数据库(5)包括存储的图像(6)和感兴趣对象之间的关联(21) 用于在成像会话期间获取包括所述感兴趣对象的至少一部分的表示(10)的新图像(9)的图像扫描器(2) 用于在成像会话期间使用户能够指示新图像(9)与感兴趣对象相关联的用户界面(3) 以及用于在新图像(9)和数据库中的感兴趣对象之间创建关联(23)的关联子系统(4)。 用户界面(3)被布置为使得用户能够从与所存储的图像(6)相关联的多个感兴趣对象中选择感兴趣的对象。
    • 15. 发明授权
    • Detecting haemorrhagic stroke in CT image data
    • 检测CT图像数据中的出血性中风
    • US09159127B2
    • 2015-10-13
    • US12665422
    • 2008-06-17
    • Kirsten MeetzThomas BuelowStewart Young
    • Kirsten MeetzThomas BuelowStewart Young
    • G06T7/00A61B6/00G06T7/40
    • G06T7/0012A61B6/032A61B6/12A61B6/501A61B2576/026G06T7/44G06T2207/10081G06T2207/20156G06T2207/30016G06T2207/30096G06T2210/41
    • The invention relates to a system (100) arranged to delineate the acute intracerebral haematoma in non-contrasted CT images in two stages. The first stage, performed by the extraction unit (110), employs an analysis of gray values of the image data in order to extract the candidate region. The candidate region may comprise both an acute haematoma and other regions having similar gray values, e.g., regions resulting from partial volume effects at the interface of the bony structures of the skull and the brain. The novel second stage, performed by the classification unit (120), analyzes spatial features of the candidate region such as, for example, the size, shape, and connectedness to the skull bone of the candidate region. Using spatial features of the candidate region improves the correctness of classification of the candidate region as a true or false acute haematoma.
    • 本发明涉及一种系统(100),其被布置成在两个阶段中描绘非对照CT图像中的急性脑内血肿。 由提取单元(110)执行的第一阶段对图像数据的灰度值进行分析,以提取候选区域。 候选区域可以包括急性血肿和具有相似灰度值的其它区域,例如由头骨和脑的骨骼结构的界面处的部分体积效应产生的区域。 由分类单元(120)执行的新颖的第二阶段分析候选区域的空间特征,例如与候选区域的颅骨的尺寸,形状和连接性。 使用候选区域的空间特征将候选区域的分类的正确性提高为真的或假的急性血肿。
    • 16. 发明申请
    • DETECTING HAEMORRHAGIC STROKE IN CT IMAGE DATA
    • 检测CT图像数据中的血流动力学
    • US20100183211A1
    • 2010-07-22
    • US12665422
    • 2008-06-17
    • Kirsten MeetzThomas BuelowStewart Young
    • Kirsten MeetzThomas BuelowStewart Young
    • G06K9/00
    • G06T7/0012A61B6/032A61B6/12A61B6/501A61B2576/026G06T7/44G06T2207/10081G06T2207/20156G06T2207/30016G06T2207/30096G06T2210/41
    • The invention relates to a system (100) arranged to delineate the acute intracerebral haematoma in non-contrasted CT images in two stages. The first stage, performed by the extraction unit (110), employs an analysis of gray values of the image data in order to extract the candidate region. The candidate region may comprise both an acute haematoma and other regions having similar gray values, e.g., regions resulting from partial volume effects at the interface of the bony structures of the skull and the brain. The novel second stage, performed by the classification unit (120), analyzes spatial features of the candidate region such as, for example, the size, shape, and connectedness to the skull bone of the candidate region. Using spatial features of the candidate region improves the correctness of classification of the candidate region as a true or false acute haematoma.
    • 本发明涉及一种系统(100),其被布置成在两个阶段中描绘非对照CT图像中的急性脑内血肿。 由提取单元(110)执行的第一阶段对图像数据的灰度值进行分析,以提取候选区域。 候选区域可以包括急性血肿和具有相似灰度值的其它区域,例如由头骨和脑的骨骼结构的界面处的部分体积效应产生的区域。 由分类单元(120)执行的新颖的第二阶段分析候选区域的空间特征,例如与候选区域的颅骨的尺寸,形状和连接性。 使用候选区域的空间特征将候选区域的分类的正确性提高为真的或假的急性血肿。