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    • 2. 发明授权
    • Apparatus for determining a modification of a size of an object
    • 用于确定对象大小的修改的装置
    • US08559758B2
    • 2013-10-15
    • US13060066
    • 2009-08-24
    • Sven KabusRafael Wiemker
    • Sven KabusRafael Wiemker
    • G06K9/00G06K9/32A61B5/05
    • G06T7/0012G06T3/0075G06T7/38G06T2207/10081G06T2207/20104G06T2207/30064
    • The present invention relates to an apparatus for determining a modification of a size of an object. The apparatus comprises a registration unit (13) for registering with respect to each other a first region of interest in a first image data set showing an object at a first time and a second region of interest in a second image data set showing the object at a second time being different from the first time, wherein the registration unit is adapted to generate a scaling value by performing at least a scaling transformation for registering the first region of interest and the second region of interest with respect to each other. The apparatus further comprises a modification value determination unit (14) for determining a modification value, which indicates the modification of the size of the object, depending on the generated scaling value.
    • 本发明涉及一种用于确定对象大小的修改的装置。 该装置包括登记单元(13),用于在第一图像数据集中相对于彼此登记第一感兴趣区域,所述第一区域在第一时间显示对象,第二区域在第二图像数据集中表示对象 第二次与第一次不同,其中,所述注册单元适于通过至少执行用于相对于彼此登记所述第一感兴趣区域和所述第二感兴趣区域的缩放变换来生成缩放值。 该装置还包括:修改值确定单元,用于根据生成的缩放值确定指示对象大小的修改的修改值。
    • 3. 发明授权
    • Automatic point-wise validation of respiratory motion estimation
    • 自动点对点呼吸运动估计
    • US09171377B2
    • 2015-10-27
    • US13808607
    • 2011-07-05
    • Sven KabusTobias KlinderCristian Lorenz
    • Sven KabusTobias KlinderCristian Lorenz
    • G06K9/00G06T7/20G06T3/00G06T7/00
    • 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。
    • 9. 发明授权
    • Image data reformatting
    • 图像数据重新格式化
    • US09424680B2
    • 2016-08-23
    • US13639189
    • 2011-03-16
    • Rafael WiemkerSven KabusTobias Klinder
    • Rafael WiemkerSven KabusTobias Klinder
    • G06T7/00G06T15/08
    • G06T15/08
    • A method for reformatting image data includes obtaining volumetric image data indicative of an anatomical structure of interest, identifying a surface of interest of the anatomical structure of interest in the volumetric image data, identifying a thickness for a sub-volume of interest of the volumetric image data, shaping the sub-volume of interest such that at least one of its sides follows the surface of interest, and generating, via a processor, a maximum intensity projection (MIP) or direct volume rendering (DVR) based on the identified surface of interest and the shaped sub-volume of interest.
    • 重新格式化图像数据的方法包括:获取表示感兴趣的解剖结构的体积图像数据,识别体积图像数据中感兴趣的解剖结构的感兴趣的表面,识别体积图像的感兴趣的子体积的厚度 数据,使感兴趣的子体积成形,使得其侧面中的至少一个跟随感兴趣的表面,并且经由处理器基于所识别的表面生成最大强度投影(MIP)或直接体绘制(DVR) 兴趣和兴趣的形状子体积。