公开(公告)号：US07792360B2

公开(公告)日：2010-09-07

申请号：US11568245

申请日：2005-04-21

申请人： Raymond Joseph Elisabeth Habets ,  Nicolae Suditu ,  Steven Lobregt ,  Frans Andreas Gerritsen

发明人： Raymond Joseph Elisabeth Habets ,  Nicolae Suditu ,  Steven Lobregt ,  Frans Andreas Gerritsen

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/46

CPC分类号： G06K9/6206 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T7/60 ,  G06T2207/10081 ,  G06T2207/20128 ,  G06T2207/30008

摘要： A method of object mapping in a multi-dimensional dataset, said method comprising using a processor to perform the steps of: segmenting the multi-dimensional dataset using multi-dimensional graphic objects, defining a set of geometric relations between a set of geometric templates using a geometrical relational application framework macro, associating the multi-dimensional graphic objects with the geometric templates, and constructing, for the multi-dimensional graphic objects, constituent models, wherein a constituent model is designated for segmenting a respective predetermined constituent structure, constructing a composite model for segmenting the multi-dimensional graphic dataset by determining at least two constituent structures that are incorporated in or related to the multi-dimensional graphic object, and forming the composite model based on respective constituent models that correspond to the respective determined constituent structures, the composite model being operative to segment the multi-dimensional graphic dataset by controlling the constituent models.

摘要翻译： 一种在多维数据集中的对象映射的方法，所述方法包括使用处理器执行以下步骤：使用多维图形对象来分割多维数据集，使用一组几何模板来定义一组几何关系 几何关系应用框架宏，将多维图形对象与几何模板相关联，并且为多维图形对象构建组件模型，其中指定组件模型用于分割相应的预定构成结构，构建组合模型 模型，用于通过确定结合在多维图形对象中或与多维图形对象相关的至少两个组成结构来分割多维图形数据集，以及基于对应于相应确定的构成结构的各个组成模型形成复合模型， 复合模型正在运行 通过控制构成模型来划分多维图形数据集。

公开(公告)号：US20080187245A1

公开(公告)日：2008-08-07

申请号：US11569599

申请日：2005-05-25

申请人： Raymond Joseph Elisabeth Habets ,  Rutger Nijlunsing

发明人： Raymond Joseph Elisabeth Habets ,  Rutger Nijlunsing

IPC分类号： G06T3/40

CPC分类号： G06T3/40

摘要： The invention relates to an image processing apparatus arranged to scale an object within an image, said image processing apparatus comprising a calibrator arranged to scale the object based on a calibration factor derived from a relationship between a true dimension of a marker and a dimension of the marker in pixel units in the image, wherein the calibrator is further arranged to generate a plurality of calibration factors obtained using a plurality of differently oriented markers identified within said image. The image (I) comprises a plurality of objects (3, 8, 9) which are oriented differently in space resulting in a different alignment of these objects with respect to the anatomical structures (2). The object (3) is linked to a measurement tool, which is arranged to measure a length of the object (3) in pixel units and to calculate a true length of the object (3) using a calibration factor determined from a marker (A), which has a similar alignment in space as the object (3). The image (I) further comprises objects (8, 9), linked to a measurement tool, which is arranged to calculate a true length of the objects (8, 9) based on respective lengths of these object in pixel units and a calibration factor determined using the marker (B). Preferably, the objects corresponding to a different marker are grouped to form a calibration group, whereby an update in the calibration factor results in an automatic update of true dimensions for all objects within the same calibration group. Preferably, each calibration group is identified differently for user's convenience. The invention further relates to an imaging system, a computer program and a method for enabling scaling of objects in the image.

摘要翻译： 本发明涉及一种图像处理装置，其被配置为对图像内的对象进行缩放，所述图像处理装置包括校准器，该校准器被布置为基于从标记的真实尺寸和标记的尺寸之间的关系导出的校准因子 图像中的像素单位的标记，其中所述校准器进一步布置成生成使用在所述图像内识别的多个不同取向的标记获得的多个校准因子。 图像（I）包括在空间上不同定向的多个对象（3,8,9），导致这些对象相对于解剖结构（2）的不同对准。 对象（3）被连接到测量工具，其被设置成以像素为单位测量对象（3）的长度，并且使用从标记（A）确定的校准因子来计算对象（3）的真实长度 ），其在空间中与对象（3）具有类似的对齐。 图像（I）还包括连接到测量工具的对象（8,9），其被布置为基于像素单元中的这些对象的相应长度和校准因子来计算对象（8,9）的真实长度 使用标记（B）确定。 优选地，对应于不同标记的对象被分组以形成校准组，由此校准因子中的更新导致对相同校准组内的所有对象的真实维度的自动更新。 优选地，为了用户的方便，每个校准组被不同地标识。 本发明还涉及一种成像系统，计算机程序和用于使图像中的对象能够缩放的方法。

公开(公告)号：US08612890B2

公开(公告)日：2013-12-17

申请号：US12746937

申请日：2008-12-09

申请人： Rutger Nijlunsing ,  Raymond Joseph Elisabeth Habets

发明人： Rutger Nijlunsing ,  Raymond Joseph Elisabeth Habets

IPC分类号： G06F3/048 ,  G06F17/00 ,  G06K9/18

CPC分类号： G06T19/00 ,  G06T2219/004

摘要： The present invention has the advantage over the prior art that it provides a labeling method suitable for a complete medical report. In an aspect the present invention provides intuitive visual manual labeling, easy navigation based on anatomy, feedback to improve segmentation interactively, and automatic labeling based on anatomical textbook knowledge and already provided manual labels.

摘要翻译： 本发明具有优于现有技术的优点，它提供了适合于完整医疗报告的标记方法。 在一方面，本发明提供直观的视觉手工标签，基于解剖学的简单导航，交互式改进分割的反馈以及基于解剖学教科书知识的自动标签，并且已经提供了手动标签。