公开(公告)号：US20100135544A1

公开(公告)日：2010-06-03

申请号：US12063244

申请日：2006-10-24

申请人： Marco Mattiuzzi ,  Ilaria Gori ,  Toni Werner Vomweg

发明人： Marco Mattiuzzi ,  Ilaria Gori ,  Toni Werner Vomweg

IPC分类号： G06K9/62 ,  G06T7/00 ,  G06K9/48

CPC分类号： G06T7/269 ,  G06T7/33 ,  G06T7/35 ,  G06T7/38 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/30068

摘要： In a method for registering biomedical images such as at least a first and a second digital or digitalized image or set of cross-sectional images of the same object, within the first image or set of images a certain number of landmarks, so called features are individuated by selecting a certain number of pixels or voxels. The position of each pixel or voxel selected as a feature is tracked from the first to the second image or set of images by determining the optical flow vector from the first to the second image or set of images for each pixel or voxel selected as a feature. Registration of the first and second images or set of images is carried out by applying the inverse optical flow to the pixels or voxels of the second image or set of images. The invention provides for an automatic trackable landmark selection step consisting in defining a pixel or voxel neighbourhood around each pixel or voxel of the first image or first set of cross-sectional images; for each target pixel or voxel determining one or more characteristic parameters which are calculated as a function of the parameters describing the appearance of the said target pixel or voxel and of each or a part of the pixels or voxels of the window and as a function of one or more characteristic parameters of either the numerical matrix or of a transformation of the said numerical matrix representing the pixels or voxels of the said window. The pixels or voxels coinciding with validly trackable landmarks are determined as a function of the said characteristic parameters of the target pixels or voxels.

摘要翻译： 在用于登记诸如至少第一和第二数字或数字化图像或相同对象的横截面图像的生物医学图像的方法中，在第一图像或图像集合内，所谓的特征是一定数量的地标 通过选择一定数量的像素或体素来个性化。 通过确定从被选为特征的每个像素或体素的第一图像或第二图像或图像集合的光流矢量，从第一图像或图像组中追踪作为特征选择的每个像素或体元的位置 。 通过将逆光流应用于第二图像或图像组的像素或体素来执行第一图像或第二图像或图像集的注册。 本发明提供一种自动跟踪地标选择步骤，其包括围绕第一图像或第一组横截面图像的每个像素或体素周围定义像素或体素邻域; 对于每个目标像素或体素，确定作为描述所述目标像素或体素以及窗口的像素或体素的每个或一部分的外观的参数的函数计算的一个或多个特征参数，并且作为 数字矩阵或表示所述窗口的像素或体素的所述数值矩阵的变换的一个或多个特征参数。 根据目标像素或体元的所述特征参数确定符合有效跟踪地标的像素或体元。

公开(公告)号：US20110176710A1

公开(公告)日：2011-07-21

申请号：US12089911

申请日：2006-10-24

申请人： Marco Mattiuzzi ,  Toni Werner Vomweg

发明人： Marco Mattiuzzi ,  Toni Werner Vomweg

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06T7/33 ,  G06T7/48 ,  G06T2207/10016 ,  G06T2207/10088 ,  G06T2207/20036 ,  G06T2207/20084 ,  G06T2207/20101 ,  G06T2207/30068

摘要： Method for automatic processing and evaluation of images, particularly diagnostic images, comprising an image processing tool in the form of a software program which is executable by the computer hardware and which image processing tool processes image data of a digital input image generating a modified digital output image whose image data are outputted in a graphical and/or alphanumerical format highlighting certain predetermined features or qualities of the corresponding regions of an imaged body or object, characterized in that the image processing tool comprises a first image detecting module which is an image processing module based on image processing non expert algorithms and which furnishes at its output a modified image file which modified image data are further processed by a classification or evaluation module which is a second image processing module comprising an image processing tool consisting in an expert image processing algorithm such as a classification or prediction algorithm the output of which is a further modified image file in which the pixels or voxels are highlighted corresponding to imaged object having a predetermined feature or quality.

摘要翻译： 用于自动处理和评估图像，特别是诊断图像的方法，包括可由计算机硬件执行的软件程序形式的图像处理工具，以及哪个图像处理工具处理产生修改的数字输出的数字输入图像的图像数据 其图像数据以图形和/或字母数字格式输出，突出显示成像体或对象的相应区域的某些预定特征或质量，其特征在于，图像处理工具包括第一图像检测模块，其是图像处理模块 基于图像处理非专家算法，并且在其输出处提供经修改的图像数据的修改的图像文件由分类或评估模块进一步处理，分类或评估模块是第二图像处理模块，其包括图像处理工具，该图像处理工具包括专家图像处理算法 作为分类或预测 n算法，其输出是进一步修改的图像文件，其中对应于具有预定特征或质量的成像对象，像素或体素被突出显示。

公开(公告)号：US20140323047A1

公开(公告)日：2014-10-30

申请号：US14239760

申请日：2012-08-19

申请人： Toni Werner VOMWEG

发明人： Toni Werner Vomweg ,  Gerd Marmitt

IPC分类号： H04W4/00

CPC分类号： H04W4/80 ,  G08B2001/085 ,  H04L67/306 ,  H04W4/21

摘要： A communication system includes at least two mobile parts (1, 2), each of which is paired with a transceiver (5) in order to directly communicate with each other. The transceiver (5) communicates with a computer (6) and with a storing unit (7) in which at least two personality profiles (8) to be individually generated can be stored. A respective first personality profile (8) that corresponds to a first desired profile (10) of the user of the corresponding mobile part (1, 2), the desired profile describing a person is transmitted, and an additional personality profile (8) that corresponds to a desired profile (10) of the user of an additional mobile part (1, 2), said desired profile describing a person, is received. Each received desired profile is compared with a personality profile (8) that corresponds to a self profile (9) which describes the user of the corresponding mobile part (1, 2). If the received desired profile (10) matches the stored self profile (9), a clearly identifiable signaling is carried out between the corresponding mobile parts (1, 2), an automatic communication of the mobile parts (1, 2) being carried out without user interaction solely on the basis of the design of the transceivers (5) and/or the transmittal data.

摘要翻译： 通信系统包括至少两个移动部件（1,2），每个移动部件与收发器（5）配对，以便彼此直接通信。 收发器（5）与计算机（6）和存储单元（7）通信，其中可以存储要单独产生的至少两个个性配置文件（8）。 对应于对应移动部分（1,2）的用户的第一期望简档（10）的相应的第一个性概况（8），发送描述人的期望简档，以及附加个性简档（8），其中 对应于附加移动部分（1,2）的用户的期望简档（10），所述附加移动部分（1,2）的描述人的所需简档被接收。 将每个接收到的期望简档与对应于描述对应的移动部分（1,2）的用户的自我简档（9）的个性简档（8）进行比较。 如果接收到的期望简档（10）与存储的自我简档（9）匹配，则在相应的移动部件（1,2）之间执行可清楚识别的信令，执行移动部件（1,2）的自动通信 而无需基于收发器（5）和/或传输数据的设计的用户交互。

公开(公告)号：US08345940B2

公开(公告)日：2013-01-01

申请号：US12089911

申请日：2006-10-24

申请人： Marco Mattiuzzi ,  Toni Werner Vomweg

发明人： Marco Mattiuzzi ,  Toni Werner Vomweg

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06T7/33 ,  G06T7/48 ,  G06T2207/10016 ,  G06T2207/10088 ,  G06T2207/20036 ,  G06T2207/20084 ,  G06T2207/20101 ,  G06T2207/30068

摘要： Method for automatic processing and evaluation of images, particularly diagnostic images, comprising an image processing tool in the form of a software program which is executable by the computer hardware and which image processing tool processes image data of a digital input image generating a modified digital output image whose image data are outputted in a graphical and/or alphanumerical format highlighting certain predetermined features or qualities of the corresponding regions of an imaged body or object, characterized in that the image processing tool comprises a first image detecting module which is an image processing module based on image processing non expert algorithms and which furnishes at its output a modified image file which modified image data are further processed by a classification or evaluation module which is a second image processing module comprising an image processing tool consisting in an expert image processing algorithm such as a classification or prediction algorithm the output of which is a further modified image file in which the pixels or voxels are highlighted corresponding to imaged object having a predetermined feature or quality.

摘要翻译： 用于自动处理和评估图像，特别是诊断图像的方法，包括可由计算机硬件执行的软件程序形式的图像处理工具，以及哪个图像处理工具处理产生修改的数字输出的数字输入图像的图像数据 其图像数据以图形和/或字母数字格式输出，突出显示成像体或对象的相应区域的某些预定特征或质量，其特征在于，图像处理工具包括第一图像检测模块，其是图像处理模块 基于图像处理非专家算法，并且在其输出处提供经修改的图像数据的修改的图像文件由分类或评估模块进一步处理，分类或评估模块是第二图像处理模块，其包括图像处理工具，该图像处理工具包括专家图像处理算法 作为分类或预测 n算法，其输出是进一步修改的图像文件，其中对应于具有预定特征或质量的成像对象，像素或体素被突出显示。

公开(公告)号：US08073290B2

公开(公告)日：2011-12-06

申请号：US11815449

申请日：2006-01-31

申请人： Toni Werner Vomweg ,  Heiner Faber ,  Dirk Mayer

发明人： Toni Werner Vomweg ,  Heiner Faber ,  Dirk Mayer

IPC分类号： G06K9/00

CPC分类号： G06T3/0075 ,  G06T7/33 ,  G06T7/38 ,  G06T2207/30068

摘要： A method of registering biomedical images to reduce imaging artifacts caused by object movement is disclosed, wherein a certain number of features or landmarks is automatically defined and tracked in a first and second image to be registered to determine the optical flow vector between the first and second image. Registration then takes place by applying the inverse optical flow to the second image. The automatic feature selection step is carried out by determining the mean signal intensity in a defined neighborhood for every pixel, which mean signal intensity is then compared to a predetermined threshold. If the mean signal intensity value of said neighborhood is higher than the predetermined threshold the pixel is defined as a feature and is added to a list of features to be tracked.

摘要翻译： 公开了一种记录生物医学图像以减少由物体运动引起的成像伪像的方法，其中在要注册的第一和第二图像中自动定义和跟踪一定数量的特征或标志，以确定第一和第二图像之间的光学流动矢量 图片。 然后通过将逆光流应用于第二图像来进行登记。 自动特征选择步骤通过确定每个像素的限定邻域中的平均信号强度来进行，这意味着信号强度然后与预定阈值进行比较。 如果所述邻域的平均信号强度值高于预定阈值，则将像素定义为特征，并将其添加到要跟踪的特征列表。