公开(公告)号：WO2009101577A2

公开(公告)日：2009-08-20

申请号：PCT/IB2009050544

申请日：2009-02-10

Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS INTELLECTUAL PROPERTY ,  OPFER ROLAND ,  WIEMKER RAFAEL ,  BLAFFERT THOMAS

Inventor： OPFER ROLAND ,  WIEMKER RAFAEL ,  BLAFFERT THOMAS

IPC: G06T7/00 ,  A61B5/00

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/10132 ,  G06T2207/20012 ,  G06T2207/20101 ,  G06T2207/20104 ,  G06T2207/30004

Abstract: The invention relates to a system (100) for interactive definition of a region of interest in an image data space, the system (100) comprising a point unit (110) for selecting a plurality of points for defining a boundary of the region of interest on the basis of user inputs and a boundary unit (120) for determining the boundary on the basis of the plurality of points, thereby defining the region of interest, wherein the boundary unit further comprises a domain unit (122) for determining a domain space for a parameterization of the boundary, a projection unit (124) for projecting each point of the plurality of points onto the domain space and an approximation unit (126) for computing a map for mapping the domain space into the image data space, wherein values of the map are points defining the boundary of the region of interest, such that the composition of said projection and said map satisfies a condition for defining the map. Only points necessary for defining the ROI need to be selected. For a simple-shape structure of interest, or for a structure of interest which is at a fair distance from other non- interesting structures, the number of points for defining a ROI comprising said structure of interest can be quite low. For a complex-shape structure of interest, a sufficient number of points can be selected to define a ROI that comprises said structure of interest but does not comprise, for example, a view-occluding structure. The intensities of voxels comprised in the structure of interest do not affect the definition of the ROI, because the ROI is defined on the basis of the selected plurality of points and is not affected by said intensities.

Abstract translation: 本发明涉及一种用于在图像数据空间中交互定义感兴趣区域的系统（100），该系统（100）包括点单元（110），用于选择用于定义感兴趣区域的边界的多个点 基于用户输入和用于基于多个点确定边界的边界单元（120），从而定义感兴趣的区域，其中边界单元还包括用于确定域空间的域单元（122） 用于边界的参数化，用于将多个点中的每个点投影到域空间上的投影单元（124）和用于计算用于将域空间映射到图像数据空间中的映射的近似单元（126），其中值 的地图是定义感兴趣区域的边界的点，使得所述投影和所述地图的组成满足用于定义地图的条件。 只需要选择定义ROI的必要点。 对于感兴趣的简单形状结构，或者与其他非有趣结构相距很远的感兴趣的结构，用于定义包含所述感兴趣结构的ROI的点的数量可能相当低。 对于感兴趣的复杂形状结构，可以选择足够数量的点来定义包括所述感兴趣结构但不包括例如遮挡结构的ROI。 包含在感兴趣结构中的体素的强度不影响ROI的定义，因为ROI是基于所选择的多个点来定义的，并且不受所述强度的影响。

公开(公告)号：WO2009034508A3

公开(公告)日：2009-06-18

申请号：PCT/IB2008053611

申请日：2008-09-05

Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS INTELLECTUAL PROPERTY ,  KOEHLER THOMAS ,  WIEMKER RAFAEL

Inventor： KOEHLER THOMAS ,  WIEMKER RAFAEL

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06T11/008 ,  G06T2207/10072 ,  G06T2207/30064

Abstract: The invention relates to a method and an image processing device (10) for the evaluation of image raw-data of a body region generated with an imaging device like a CT scanner (30). From the image raw-data, a first image (ICAD) is reconstructed with a reconstruction module (12) according to reconstruction parameters (p) set optimally by a computer aided detection and/or diagnosis (CAD) module (13). This module can then evaluate an image (ICAD) that was reconstructed optimally according to its own requirements, for example with respect to image size and/or resolution, to find features of interest.

Abstract translation: 本发明涉及一种用于评估由CT扫描仪（30）等成像装置生成的身体部位的图像原始数据的方法和图像处理装置（10）。 根据图像原始数据，根据通过计算机辅助检测和/或诊断（CAD）模块（13）最优地设置的重建参数（p），利用重建模块（12）重建第一图像（ICAD）。 然后，该模块可以评估根据其自身要求（例如关于图像大小和/或分辨率）最优重建的图像（ICAD），以找到感兴趣的特征。

公开(公告)号：WO2007133932A3

公开(公告)日：2009-01-15

申请号：PCT/US2007067846

申请日：2007-05-01

Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS CORP ,  PHILIPS INTELLECTUAL PROPERTY ,  KAUS MICHAEL ,  PEKAR VLADIMIR ,  WIEMKER RAFAEL

Inventor： KAUS MICHAEL ,  PEKAR VLADIMIR ,  WIEMKER RAFAEL

IPC: G06T7/00

CPC classification number: A61N5/103 ,  A61B5/7285 ,  A61B6/03 ,  A61B6/466 ,  A61B6/541 ,  A61B8/543 ,  A61N5/1037 ,  A61N2005/1061 ,  G06F19/321 ,  G06F19/3437 ,  G06F19/3481 ,  G06Q50/22 ,  G06T7/33 ,  G06T7/38 ,  G06T2207/30004 ,  G16H50/50

Abstract: A system and method for developing radiation therapy plans and a system and method for developing a radiation therapy plan to be used in a radiation therapy treatment is disclosed. A radiation therapy plan is developed using a registration of medical images. The registration is based on identifying landmarks located within inner body structures.

Abstract translation: 公开了一种用于制定放射治疗计划的系统和方法以及用于制定放射疗法治疗中使用的放射治疗计划的系统和方法。 使用医学图像的注册开发放射治疗计划。 注册基于识别位于内部身体结构内的地标。

公开(公告)号：WO2004088589A8

公开(公告)日：2005-09-29

申请号：PCT/IB2004050303

申请日：2004-03-22

Applicant: PHILIPS INTELLECTUAL PROPERTY ,  KONINKL PHILIPS ELECTRONICS NV ,  WIEMKER RAFAEL ,  BLAFFERT THOMAS

Inventor： WIEMKER RAFAEL ,  BLAFFERT THOMAS

IPC: G06T5/00 ,  G06T7/60

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/155 ,  G06T7/62 ,  G06T2207/10072 ,  G06T2207/20041 ,  G06T2207/20156 ,  G06T2207/30064

Abstract: Volume measurement of for example a tumor in a 3D image dataset is an important and often performed task. The problem is to segment the tumor out of this volume in order to measure its dimensions. This problem is complicated by the fact that the tumors are often connected to vessels and other organs. According to the present invention, an automated method and corresponding device and computer software are provided, which analyze a volume of interest around a singled out tumor, and which, by virtue of a 3D distance transform and a region drawing scheme advantageously allow to automatically segment a tumor out of a given volume.

Abstract translation: 体积测量例如3D图像数据集中的肿瘤是一个重要且经常执行的任务。 问题是将肿瘤从该体积中分离出来以测量其尺寸。 这个问题由于肿瘤通常与血管和其他器官相连的事实而变得复杂。 根据本发明，提供一种自动化方法和相应的装置和计算机软件，其分析围绕单个肿瘤的感兴趣体积，并且通过3D距离变换和区域绘制方案有利地允许自动分段 一个给定体积的肿瘤。

公开(公告)号：WO2004109580A3

公开(公告)日：2005-03-24

申请号：PCT/IB2004050805

申请日：2004-05-28

Applicant: PHILIPS INTELLECTUAL PROPERTY ,  KONINKL PHILIPS ELECTRONICS NV ,  WIEMKER RAFAEL ,  BLAFFERT THOMAS ,  PEKAR VLADIMIR

Inventor： WIEMKER RAFAEL ,  BLAFFERT THOMAS ,  PEKAR VLADIMIR

IPC: G06T7/00 ,  G06F19/00

CPC classification number: G06T7/0012

Abstract: Ground glass opacities in the lung are non-solid nebular-like shadows in the parenchyma tissue of the lung, which may be precursors of a lung cancer. According to the present invention, ground glass opacities may automatically be determined on the basis of a texture analysis of the parenchyma. Advantageously, according to the present invention, a robust and reliable determination of ground glass opacities may be provided, even if vessels, lung walls, airspace or bronchi walls are present within the local neighborhood of the ground glass opacity.

Abstract translation: 肺中的玻璃不透明度是肺实质组织中非固体的星状样阴影，可能是肺癌的前体。 根据本发明，可以根据实质的纹理分析自动确定研磨玻璃的不透明度。 有利地，根据本发明，即使在玻璃不透明度的局部邻域内存在容器，肺壁，空气或支气管壁，也可以提供坚实可靠的磨玻璃不透明度测定。

公开(公告)号：WO2004046995A3

公开(公告)日：2004-07-22

申请号：PCT/IB0305136

申请日：2003-11-12

Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS INTELLECTUAL PROPERTY ,  WIEMKER RAFAEL

Inventor： WIEMKER RAFAEL

IPC: G06F19/00 ,  G06T5/00 ,  G06T7/00

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/30064

Abstract: The invention relates to a method and a device for forming an image of body structures from an image data set, notably for highlighting potential nodular structures (KI; KA) in a lung. The problem to be solved by the invention is to achieve automatic highlighting of potential nodular structures in methods of this kind. This is realized in that in a plurality of steps a binary data set is formed in which all pixels present in the image data set are subdivided into pixels to be marked and those not to be marked, a first filtering operation being performed in which for each pixel (D) there is determined a distance value which corresponds to the shortest distance between the pixel and the edge (KAG) of the image structure (KA) in which the pixel is situated, those pixels being selected from the binary data set whose distance value is below a predetermined distance limit value, there being performed a second filtering operation in which those previously selected pixels remain selected which are directly neighbored by two pixels having a smaller distance value in both directions of at least one straight line which extends through the pixel, there being performed a third filtering operation in which those previously selected pixels remain selected for which the surrounding pixels, being situated at a distance corresponding to the distance value of the pixel, have a distance value which is a predetermined distance difference value smaller than the distance value of the pixel to be tested itself, the pixels thus selected being used to form an image in which the selected pixels are highlighted.

Abstract translation: 本发明涉及用于从图像数据集形成身体结构图像的方法和设备，特别是用于突出显示肺中潜在的结节结构（KI; KA）。 本发明要解决的问题是在这种方法中实现潜在的结节结构的自动突出显示。 这是通过以下步骤实现的：在多个步骤中形成二进制数据集，其中存在于图像数据集中的所有像素被细分为将被标记的像素和不被标记的像素，执行第一滤波操作，其中对于每个像素 像素（D）中确定距离值，该距离值对应于像素与像素所位于的图像结构（KA）的边缘（KAG）之间的最短距离，这些像素从其距离 值低于预定距离限制值时，执行第二滤波操作，其中保持选择那些先前选择的像素，该第二滤波操作直接与在延伸穿过像素的至少一条直线的两个方向上具有较小距离值的两个像素相邻 ，执行第三滤波操作，其中那些先前选择的像素保持被选择，其中周围像素位于远处 对应于像素的距离值的像素具有距离值，该距离值是比要测试的像素本身的距离值小的预定距离差值，这样选择的像素用于形成其中选择的像素是 突出显示。