PROSPECTIVE ADAPTIVE RADIATION THERAPY PLANNING
    11.
    发明申请
    PROSPECTIVE ADAPTIVE RADIATION THERAPY PLANNING 审中-公开
    前瞻性适应性放射治疗计划

    公开(公告)号:WO2010018476A2

    公开(公告)日:2010-02-18

    申请号:PCT/IB2009053187

    申请日:2009-07-22

    Abstract: A therapy planner (16) is configured to construct a therapy plan based on a planning image segmented into segments delineating features of a subject. A predictive plan adaptation module (20) is configured to adjust the segments to represent a foreseeable change in the subject and to invoke the therapy planner to construct a therapy plan corresponding to the foreseeable change. A data storage (18) stores a plurality of therapy plans generated for a subject by the therapy planner and the predictive plan adaptation module based on at least one planning image of the subject. A therapy plan selector (30) is configured to select one of the plurality of therapy plans for use in a therapy session based on a preparatory image acquired preparatory to the therapy session.

    Abstract translation: 治疗计划器(16)被配置成基于划分成描绘对象的特征的片段的计划图像来构建治疗计划。 预测计划适应模块(20)被配置为调整所述分段以表示所述对象中的可预见的改变并且调用所述治疗计划器来构建对应于所述可预见的改变的治疗计划。 数据存储器(18)存储由治疗计划器和预测计划适应模块基于对象的至少一个计划图像为对象生成的多个治疗计划。 治疗计划选择器(30)被配置为基于为治疗会话准备的预备图像来选择用于治疗会话的多个治疗计划中的一个。

    COMPUTER-AIDED DETECTION (CAD) OF A DISEASE
    12.
    发明申请
    COMPUTER-AIDED DETECTION (CAD) OF A DISEASE 审中-公开
    疾病的计算机辅助检测(CAD)

    公开(公告)号:WO2009063363A3

    公开(公告)日:2009-07-30

    申请号:PCT/IB2008054632

    申请日:2008-11-06

    Abstract: 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.

    Abstract translation: 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,可以进行更有效的计算,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。

    AUTOMATED HIERARCHICAL SPLITTING OF ANATOMICAL TREES
    13.
    发明申请
    AUTOMATED HIERARCHICAL SPLITTING OF ANATOMICAL TREES 审中-公开
    解剖学自动分层分割

    公开(公告)号:WO2007144815A3

    公开(公告)日:2009-06-11

    申请号:PCT/IB2007052192

    申请日:2007-06-11

    Abstract: A method for splitting a dataset relating to an anatomical tree structure (12) comprises establishing a plurality of seed points (24) within the tree structure; establishing a length of a path (20) along the tree structure from each of the plurality of seed points (24) to each of a plurality of other points (14); establishing a Euclidean distance (26) from each of the plurality of seed points (24) to each of the plurality of other points (14); associating with the seed point (24) a measure representing a likelihood that the seed point is the root point in dependence on the established lengths (20) and distances (26); identifying the root point of the tree structure (12) as the seed point (24) associated with a maximum measure representing the likelihood that the respective seed point is the root point; and establishing the principal bifurcation point (64) in dependence on the root point.

    Abstract translation: 一种用于分割与解剖树结构(12)相关的数据集的方法包括在所述树结构内建立多个种子点(24); 沿着所述树结构建立从所述多个种子点(24)中的每一个到多个其它点(14)中的每一个的路径(20)的长度; 将所述多个种子点(24)中的每一个的欧几里德距离(26)建立到所述多个其他点(14)中的每个; 与种子点(24)相关联,该度量表示根据建立的长度(20)和距离(26)种子点是根点的可能性; 将所述树结构(12)的根点识别为与表示各个种子点是根点的可能性的最大量度相关联的种子点(24); 并根据根点建立主要分岔点(64)。

    VISUALIZING A VASCULAR STRUCTURE
    14.
    发明申请
    VISUALIZING A VASCULAR STRUCTURE 审中-公开
    可视化血管结构

    公开(公告)号:WO2008065611A2

    公开(公告)日:2008-06-05

    申请号:PCT/IB2007054807

    申请日:2007-11-27

    Abstract: A system (500) for visualizing a vascular structure represented by a three- dimensional angiography dataset is disclosed. Respective voxel values are associated with respective voxels. The dataset represents a vascular structure. The system comprises means (502) for establishing respective filling values; means (504) for identifying respective minimum filling values; means (506) for computing respective deficiency values; and an output (514) for providing a visualization in dependence on the deficiency values. A respective filling value is indicative of an amount of blood flow at the respective position in the vascular structure. A respective minimum filling value is a minimum of the filling values associated with the positions upstream of the respective position. A respective deficiency value is indicative of a difference between the filling value associated with the respective position and the minimum filling value associated with the respective position.

    Abstract translation: 公开了一种用于可视化由三维血管造影数据集表示的血管结构的系统(500)。 各个体素值与相应的体素相关联。 数据集表示血管结构。 该系统包括用于建立相应填充值的装置(502) 用于识别相应的最小填充值的装置(504); 用于计算各个不足值的装置(506); 以及用于根据不足值提供可视化的输出(514)。 相应的填充值表示血管结构中各个位置处的血流量。 相应的最小填充值是与相应位置的上游位置相关联的填充值的最小值。 相应的缺陷值表示与各个位置相关联的填充值与与各个位置相关联的最小填充值之间的差异。

    AUTOMATIC SEED POINT SELECTION
    16.
    发明申请
    AUTOMATIC SEED POINT SELECTION 审中-公开
    自动种子点选择

    公开(公告)号:WO2008035266A2

    公开(公告)日:2008-03-27

    申请号:PCT/IB2007053730

    申请日:2007-09-17

    Abstract: A computer program to identify a single seed point in an image is presented in which a manually positionable region of interest is presented to the user in the image and a single seed point is selected according to pre-defined criteria from the pixels delineated by the region of interest. Such seed points are used to initialise, for example, segmentation algorithms. The invention improves accuracy of seed point selection and also increases reproducibility. In an advantageous embodiment the region of interest is also sizable and a workstation and computer mouse with rotatable control device are provided, where the rotatable control device is used to control the size of the region of interest.

    Abstract translation: 呈现用于识别图像中的单个种子点的计算机程序,其中将手动定位的感兴趣区域呈现给图像中的用户,并且根据来自由该区域描绘的像素的预定义标准来选择单个种子点 出于兴趣。 这样的种子点用于初始化例如分割算法。 本发明提高了种子选择的准确性,并提高了再现性。 在有利的实施例中,感兴趣的区域也是相当大的,并且提供了具有可旋转控制装置的工作站和计算机鼠标,其中可旋转控制装置用于控制感兴趣区域的尺寸。

    AUTOMATIC EXTRACTION AND DISPLAY OF THE TRACHEOBRONCHIAL PLANE
    17.
    发明申请
    AUTOMATIC EXTRACTION AND DISPLAY OF THE TRACHEOBRONCHIAL PLANE 审中-公开
    自动提取和显示TRACHEOBRONCHIAL PLANE

    公开(公告)号:WO2006126150A3

    公开(公告)日:2007-04-12

    申请号:PCT/IB2006051596

    申请日:2006-05-19

    CPC classification number: G06T19/00 G06T15/08 G06T2210/41 G06T2219/008

    Abstract: Usually orthogonal slices of a three-dimensional image set of a tracheobronchial tree (40) of a body do not show the tracheobronchial plane. Thus, the plane has to be adjusted manually by the user by trial and error, which is a tedious and time consuming process. The concept of the invention suggests a method of automated extraction and display of at least one oblique slice (49) of the tracheobronchial plane from a three- dimensional image set of a body. The method is fully automated without any user interaction. According to the invention the method comprises the step of: automatically identifying set of image points being part of a tracheobronchial tree (40); automatically identifying at least one oblique slice (49) as a fit to the image points; automatically performing a reformation step on the three-dimensional image set to extract the oblique slice (49); and automatically displaying (Fig. 6, 7) the oblique slice (49) of the tracheobronchial plane. The concept also provides a respective system (1), image acquisition device, workstation and computer program product and information carrier.

    Abstract translation: 通常身体的气管支气管树(40)的三维图像组的正交切片不显示气管支气管平面。 因此,飞机必须由用户手动调整,通过反复试验,这是一个冗长乏味的过程。 本发明的概念提出了一种从身体的三维图像集合自动提取和显示气管支气管平面的至少一个倾斜切片(49)的方法。 该方法是完全自动的,没有任何用户交互。 根据本发明,该方法包括以下步骤:自动识别作为气管支气管树(40)的一部分的图像点; 自动识别至少一个倾斜切片(49),以适合图像点; 自动地对三维图像集进行改写步骤以提取倾斜切片(49); 并自动显示(图6,7)气管支气管平面的斜切片(49)。 该概念还提供了相应的系统(1),图像采集设备,工作站和计算机程序产品和信息载体。

    IDENTIFYING ABNORMAL TISSUE IN IMAGES OF COMPUTED TOMOGRAPHY
    18.
    发明申请
    IDENTIFYING ABNORMAL TISSUE IN IMAGES OF COMPUTED TOMOGRAPHY 审中-公开
    识别计算机图像图像异常组织

    公开(公告)号:WO2006085250A3

    公开(公告)日:2007-03-08

    申请号:PCT/IB2006050362

    申请日:2006-02-03

    Abstract: An imaging method for identifying abnormal tissue in the lung is provided, comprising the recording of slice images of the lung by means of X-ray radiation, recording of blood vessels, differentiation of blood vessels and abnormal tissue, segmentation of the abnormal tissue and display of the segmented abnormal tissue on an output device. In addition, a computer tomograph for identifying abnormal tissue in the lung is provided, having a radiation source for recording slice images of the lung and blood vessels by means of X-ray radiation, a computer unit for differentiating the blood vessels from the abnormal tissue and for segmenting the abnormal tissue, as well as an output device for displaying the segmented abnormal tissue. Furthermore, a computer program is provided for controlling a computer tomograph for an identification of abnormal tissue in the lung by means of a radiation source, designed to record slice images of the lung and blood vessels by means of X-ray radiation, to differentiate the blood vessels from abnormal tissue, to segment the abnormal tissue and to control an output device for displaying the abnormal tissue.

    Abstract translation: 提供了一种用于鉴定肺中异常组织的成像方法,包括通过X射线照射记录肺的切片图像,记录血管,血管和异常组织的分化,异常组织的分割和显示 的输出装置上的分段异常组织。 另外,提供了一种用于识别肺中的异常组织的计算机断层摄影机,具有用于通过X射线辐射记录肺和血管的切片图像的辐射源,用于将血管与异常组织分离的计算机单元 并且用于分割异常组织,以及用于显示分段的异常组织的输出装置。 此外,提供了一种计算机程序,用于通过辐射源来控制用于识别肺中的异常组织的计算机断层摄影机,其被设计成通过X射线辐射记录肺和血管的切片图像,以区分 来自异常组织的血管,分割异常组织并控制用于显示异常组织的输出装置。

    DISPLAYING A PLURALITY OF REGISTERED IMAGES
    20.
    发明申请
    DISPLAYING A PLURALITY OF REGISTERED IMAGES 审中-公开
    显示多个注册图像

    公开(公告)号:WO2013001471A2

    公开(公告)日:2013-01-03

    申请号:PCT/IB2012053259

    申请日:2012-06-27

    Abstract: A system for displaying a plurality of registered images is disclosed. A first viewport unit (1) displays a representation of a first image dataset (4) in a first viewport (201). A second viewport unit (2) displays a representation of a second image dataset (5) in a second viewport (202). A position indication unit (7) enables a user to indicate a position in the first dataset (4) displayed in the first viewport (201), to obtain a user-indicated position. A corresponding position determining unit (8) determines a position in the second image dataset (5) corresponding to the user-indicated position, to obtain a corresponding position in the second image dataset (5), based on correspondence information (9) mapping positions in the first image dataset (4) to corresponding positions in the second image dataset (5). The second viewport unit (2) displays an indication of the corresponding position in the second viewport (202).

    Abstract translation: 公开了一种用于显示多个注册图像的系统。 第一视口单元(1)在第一视口(201)中显示第一图像数据集(4)的表示。 第二视口单元(2)在第二视口(202)中显示第二图像数据集(5)的表示。 位置指示单元(7)使用户能够指示在第一视窗(201)中显示的第一数据集(4)中的位置,以获得用户指示的位置。 对应位置确定单元(8)基于对应信息(9)映射位置,确定与用户指示位置对应的第二图像数据集(5)中的位置,以获得第二图像数据集(5) 在第一图像数据集(4)中分配到第二图像数据集(5)中的对应位置。 第二视口单元(2)显示第二视口(202)中的对应位置的指示。

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