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    • 2. 发明申请
    • IMAGE PROCESSING DEVICE AND METHOD
    • 图像处理装置和方法
    • WO2006085268A1
    • 2006-08-17
    • PCT/IB2006/050403
    • 2006-02-08
    • PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHKONINKLIJKE PHILIPS ELECTRONICS N. V.VON BERG, JensLORENZ, Cristian
    • VON BERG, JensLORENZ, Cristian
    • G06T5/00
    • G06T7/149G06T7/12G06T2207/10072G06T2207/30048
    • The present invention relates to an image processing device and a corresponding image processing method for processing a multi- dimensional data set of image data, in particular of three-dimensional medical volume image data, including a segmentation unit (6, 16, 26) for a segmentation of an image object in said data set. Further, the present invention relates to a computer program for implementing said image processing method on a computer. In order to allow for a segmentation which is robust in terms of vulnerability to image artifacts and accurate in terms of reflecting anatomical details, wherein the results of the segmentation are achieved within reasonable short processing time an image processing device is proposed which comprises - model-based segmentation means (61, 161, 261) for performing a model-based segmentation (32) of said data set for obtaining a multi- dimensional model representing a first approximation of said image object; data-driven segmentation means (62, 162, 262) for performing a data- driven segmentation (33) of said multi- dimensional data set for obtaining a multi- dimensional subset of said multi- dimensional data set representing a second approximation of said image object; optimizing means (63, 163, 263) for adapting said model and/or said subset for optimizing a similarity value between said first and said second approximation; and - selecting means (64, 164, 264) for selecting said adapted model or said adapted subset as a segmentation of said image object.
    • 本发明涉及一种用于处理图像数据的多维数据集,特别是三维医疗卷图像数据的图像处理装置和相应的图像处理方法,其包括分割单元(6,16,26),用于 所述数据集中的图像对象的分割。 此外,本发明涉及一种用于在计算机上实现所述图像处理方法的计算机程序。 为了允许在对图像伪影的脆弱性和在反映解剖细节方面的准确性方面是鲁棒的分割,其中在合理的短处理时间内实现分割的结果,提出了一种图像处理装置,其包括 - 模型 - (61,161,261),用于执行所述数据集的基于模型的分割(32),以获得表示所述图像对象的第一近似的多维模型; 数据驱动分割装置(62,162,262),用于执行所述多维数据集的数据驱动分段(33),以获得表示所述图像的第二近似的所述多维数据集的多维子集 目的; 用于调整所述模型和/或所述子集以优化所述第一和所述第二近似之间的相似度值的优化装置(63,163,263) 以及 - 选择装置(64,164,264),用于选择所述适配模型或所述适配子集作为所述图像对象的分割。
    • 6. 发明申请
    • MODEL-BASED CORONARY CENTERLINE LOCALIZATION
    • 基于模型的冠状动脉中心定位
    • WO2008041165A2
    • 2008-04-10
    • PCT/IB2007/053949
    • 2007-09-28
    • KONINKLIJKE PHILIPS ELECTRONICS N. V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHVON BERG, JensHOFMANN, BerndLORENZ, CristianECABERT, OlivierPETERS, JochenWEESE, Juergen
    • VON BERG, JensHOFMANN, BerndLORENZ, CristianECABERT, OlivierPETERS, JochenWEESE, Juergen
    • G06T7/30A61B5/055A61B6/504A61B6/5229A61B8/0891A61B8/5238G06F19/00G06T2207/20044G06T2207/30101Y10S128/922
    • The invention relates to a system (100) for registering a vessel model with an image data set based on a joined model comprising a reference object model and the vessel model, the system comprising: a placement unit (110) for placing the joined model in a space of the image data set, thereby creating a placed joined model comprising a placed reference object model and a placed vessel model; a computation unit (120) for computing a deformation field based on a landmark displacement field comprising displacements of landmarks of the placed reference object model relative to corresponding landmarks in the image data set; a transformation unit (130) for transforming the placed joined model using the deformation field, thereby creating a transformed joined model comprising a transformed reference object model and a transformed vessel model; and a registration unit (140) for registering the transformed vessel model with the image data set based on modifying the transformed vessel model and optimizing an objective function of the modified transformed vessel model, wherein the objective function comprises a location-prior term based on a localization of the modified transformed vessel model relative to the transformed joined model. Hence, the system is arranged to model a vessel taking into account the localization of a vessel model relative to a reference anatomical structure described by a reference model.
    • 本发明涉及一种用于根据包括参考对象模型和血管模型的联合模型将具有图像数据集的血管模型登记的系统(100),所述系统包括:放置单元(110),用于将所连接的模型放置在 图像数据集合的空间,从而创建包括放置的参考对象模型和放置的容器模型的放置的连接模型; 计算单元(120),用于基于地标位移场来计算变形场,所述地标位移场包括相对于所述图像数据组中的对应界标放置的参考对象模型的界标的位移; 变换单元(130),用于使用变形场来变换放置的接合模型,从而创建包括变换的参考对象模型和变换的容器模型的变换的连接模型; 以及注册单元(140),用于基于修改所述经变换的血管模型并优化所述经修改的转化的血管模型的目标函数,将经变换的血管模型与所述图像数据集进行登记,其中所述目标函数包括基于 修改的转化血管模型相对于转化的连接模型的定位。 因此,该系统被设置成考虑到血管模型相对于由参考模型描述的参考解剖结构的定位来建模血管。
    • 7. 发明申请
    • IMAGE PROCESSING DEVICE AND METHOD
    • 图像处理装置和方法
    • WO2006085248A1
    • 2006-08-17
    • PCT/IB2006/050360
    • 2006-02-03
    • PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHKONINKLIJKE PHILIPS ELECTRONICS N. V.VON BERG, JensLORENZ, Cristian
    • VON BERG, JensLORENZ, Cristian
    • G06T7/149G06T7/12G06T2207/10072G06T2207/30048
    • The present invention relates to an image processing device and a corresponding image processing method for processing medical image data showing at least two image objects, including a segmentation unit for detection and/or segmentation of image objects in said image data. To allow a more accurate and better segmentation of target objects which are hard to localize and detect, it is proposed that the segmentation unit comprises: a selection unit (61) for selecting a target object for detection and/or segmentation and an intermediary object in said image data, which is easier detectable than said target object and for which position information about the spatial relationship to said target object are known, an intermediary object segmentation unit (62) for segmentation of said intermediary object in said image data, a target object detection unit (63) for detection and/or segmentation of said target object in said image data using said segmented intermediary object and said position information about the spatial relationship of said intermediary object to said target object.
    • 图像处理装置及图像处理方法技术领域本发明涉及图像处理装置和图像处理方法,该图像处理方法用于处理表示至少两个图像对象的医学图像数据,所述图像对象包括用于所述图像数据中的图像对象的检测和/或分割的分割单元。 为了允许对难以定位和检测的目标对象进行更准确和更好的分割,提出了分割单元包括:选择单元(61),用于选择用于检测和/或分割的目标对象以及中间对象 所述图像数据比所述目标对象更容易检测,并且关于与所述目标对象的空间关系的位置信息是已知的),用于在所述图像数据中分割所述中间对象的中间对象分割单元(62),目标对象 检测单元(63),用于使用所述分割的中间对象在所述图像数据中检测和/或分割所述目标对象,以及关于所述中间对象与所述目标对象的空间关系的位置信息。
    • 8. 发明申请
    • COMPUTER-AIDED DETECTION (CAD) OF A DISEASE
    • 一种疾病的计算机辅助检测(CAD)
    • WO2009063363A2
    • 2009-05-22
    • PCT/IB2008/054632
    • 2008-11-06
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHLORENZ, CristianVON BERG, JensBUELOW, ThomasWIEMKER, Rafael
    • LORENZ, CristianVON BERG, JensBUELOW, ThomasWIEMKER, Rafael
    • G06T7/00
    • 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 isadvantageous in that more efficient computations can be performed because the degree ofanalysis 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.
    • 用于执行疾病的计算机辅助检测(CAD)的方法技术领域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MRI或CT)的医学图像数据组(20)上的肺肿瘤。 最初,使用解剖模型执行医学图像数据集(20)的分割。 其次,对分段数据进行分析,以获得一组分析数据(25),最后分析数据集(25)针对该疾病进行评估。 这些步骤中的至少一个包括疾病的位置依赖概率(P_r)作为输入。 本发明的有利之处在于可以进行更有效的计算,因为患者部分的某个区域的分析程度,例如, 肺,可以调整或适应该地区疾病的概率水平。 因此可以提高计算速度,从而可以从医学图像分析中更加有效地发现诸如癌症的疾病,特别是肺部的癌症结节。