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    • 4. 发明申请
    • PATIENT SPECIFIC ANATIOMICAL SKETCHES FOR MEDICAL REPORTS
    • 患者特殊用途医疗报告草图
    • US20110169864A1
    • 2011-07-14
    • US13120181
    • 2009-09-17
    • Cristian LorenzSebastian Peter Michael DriesSteffen RenischJens Von Berg
    • Cristian LorenzSebastian Peter Michael DriesSteffen RenischJens Von Berg
    • G09G5/00
    • G06F19/3487G06F19/00G06F19/321G06T7/0012G06T7/12G06T7/149G06T19/20G06T2207/10072G06T2207/10116G06T2207/30012G06T2219/2021G16H15/00
    • The invention relates to a system (100) for producing a representation of an object in image data, based on a template coupled to a model of the object, the system comprising a model unit for adapting the model to the object in the image data, and a template unit for adapting the template to the adapted model on the basis of the coupling between the template and the model. The template defines a representation of the object which is simpler to interpret than the model. The template may be arranged to emphasize useful features of the object. The template comprises substantially fewer degrees of freedom and thus can be efficiently adapted to the model. Because the template of the invention is coupled to the model, the position, orientation and/or shape of the template is determined by the model adapted to the object in the image data. Hence, the template is adapted to the image data. The adapted template is capable of representing the object and its individual characteristics, e.g., the shape of the object as well as the position and/or orientation of the object with respect to an external reference system defined, e.g., based on the image data.
    • 本发明涉及一种用于基于耦合到对象的模型的模板来产生图像数据中的对象的表示的系统(100),该系统包括用于将模型适配到图像数据中的对象的模型单元, 以及模板单元,用于基于模板和模型之间的耦合来将模板适配到适配模型。 模板定义了比模型更简单的对象的表示。 模板可以被布置为强调对象的有用特征。 该模板包括基本上更少的自由度,因此可以有效地适应于该模型。 因为本发明的模板耦合到模型,所以模板的位置,取向和/或形状由适于图像数据中的对象的模型确定。 因此,该模板适合图像数据。 适应的模板能够表示对象及其各自的特征,例如对象的形状以及对象相对于例如基于图像数据定义的外部参考系统的位置和/或取向。
    • 7. 发明申请
    • REDUCTION OF HEART MOTION ARTIFACTS IN THORACIC CT IMAGING
    • 减少心脏CT成像中心脏运动的影响
    • US20100014736A1
    • 2010-01-21
    • US12438952
    • 2007-08-27
    • Hans BarschdorfJens Von BergMichael Harald KuhnCristian LorenzThomas Blaffert
    • Hans BarschdorfJens Von BergMichael Harald KuhnCristian LorenzThomas Blaffert
    • G06K9/32G06K9/00
    • G06T7/251G06T7/149G06T7/33G06T2200/04G06T2207/10081G06T2207/30048G06T2207/30061G06T2211/412
    • The invention relates to a system (100) for adapting a plurality of model meshes to a plurality of image data, the system comprising a registration unit (110) for registering the plurality of model meshes with the plurality of image data on the basis of a computation of a registration transformation for transforming the plurality of model meshes, and an adaptation unit (120) for adapting the plurality of registered model meshes to the plurality of image data on the basis of a computation of locations of mesh vertices of the plurality of model meshes. The system (100) may further comprise a computing unit (130) for computing sparse vector fields comprising vectors of displacements of vertices of the adapted model meshes, an approximation unit (140) for computing dense vector fields on the basis of the sparse vector fields, a merge unit (150) for merging image data sets by means of the computed dense vector fields, and a reconstruction unit (155) for reconstructing a motion-compensated image data from the computed dense vector fields. The described system (100) is capable of reducing motion artifacts in tomographic images computed from data acquired at a plurality of different cardiac cycle phases.
    • 本发明涉及一种用于将多个模型网格适配到多个图像数据的系统(100),该系统包括:注册单元(110),用于基于多个图像数据登记多个模型网格与多个图像数据 用于变换多个模型网格的注册变换的计算;以及适应单元,用于根据多个模型的网格顶点的位置的计算来将多个注册模型网格适配到多个图像数据 网格 系统(100)还可以包括计算单元(130),用于计算包括适应模型网格的顶点位移矢量的稀疏矢量场,用于基于稀疏矢量场计算密集矢量场的近似单元(140) ,用于通过所计算的密集矢量场合并图像数据组的合并单元(150),以及用于从所计算的密集矢量场重构运动补偿图像数据的重建单元(155)。 所描述的系统(100)能够减少从在多个不同的心动周期阶段获取的数据计算的断层图像中的运动伪影。
    • 8. 发明申请
    • COMPUTER-AIDED DETECTION (CAD) OF A DISEASE
    • 疾病的计算机辅助检测(CAD)
    • US20100266173A1
    • 2010-10-21
    • US12741837
    • 2008-11-06
    • Cristian LorenzJens Von BergThomas BuelowRafael Wiemker
    • Cristian LorenzJens Von BergThomas BuelowRafael Wiemker
    • G06K9/00
    • G06T7/0012G06T7/11G06T2200/24G06T2207/10072G06T2207/30061
    • The present invention relates to a method for performing computer-aided detection (CAD) of a disease, e.g. lung tumours, on a medical image data set (20) from a imaging modality, such as MRI or CT. Initially, there is perform a segmentation of the medical image data set (20) using an anatomical model. Secondly, the segmented data is analyzed for characteristics of the disease resulting in a set of analysis data (25), and finally the set of analysis data (25) is evaluating with respect to the disease. At least one of these steps comprises as an input a position dependent probability (P_r) for the disease. The invention is advantageous in that more efficient computations can be performed because the degree of analysis in a certain region of the part of the patient, e.g. the lung, can be adjusted or tailored to the level of probability of the disease in the that region. It is thereby possible to increase computational speed and thereby diseases like cancer, in particular cancer nodules in the lungs, can be more effectively found from medical image analysis.
    • 本发明涉及用于执行疾病的计算机辅助检测(CAD)的方法,例如, 肺肿瘤,来自成像模态(例如MRI或CT)的医学图像数据集(20)。 最初,使用解剖模型执行医学图像数据集(20)的分割。 其次,对分割的数据进行分析,得到一组分析数据(25),最后分析数据集(25)正在评估疾病。 这些步骤中的至少一个包括用于疾病的位置依赖概率(P_r)作为输入。 本发明的优点在于,可以执行更有效的计算,因为患者部分的某个区域中的分析程度,例如, 肺,可以根据该区域的疾病概率进行调整或调整。 从而可以增加计算速度,从而可以从医学图像分析中更有效地发现像癌症,特别是肺中的癌症结节之类的疾病。