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1. 发明申请

US20080253654A1 Method for segmentation in an n-dimensional feature space and method for classifying objects in an n-dimensional data space which are segmented on the basis of geometric characteristics 有权
标题翻译：用于在n维特征空间中进行分割的方法和用于对根据几何特征分割的n维数据空间中的对象进行分类的方法
公开(公告)号：US20080253654A1
公开(公告)日：2008-10-16
申请号：US12081142
申请日：2008-04-11
申请人： Wolf Delong
发明人： Wolf Delong
IPC分类号： G06K9/62
CPC分类号： G06K9/00127 , G06T7/11 , G06T7/194 , G06T2207/10056 , G06T2207/20104 , G06T2207/30024
摘要： A segmentation method includes several steps wherein a single data space is selected by the user in an n-dimensional feature space in a first step. This selected data space is basically interpreted by the system as containing at least two classes of objects to be segmented. In the following steps, the system first determines a separation function in the n-dimensional feature space for differentiating the at least two classes and then applies this separation function to the entire data space or a large part of the data space. The segmentation result is then visually presented to the user in real time. The invention also relates to a method for classifying objects on the basis of geometric characteristics of objects previously segmented according to any method in an n-dimensional data space. In a first step, at least two objects are selected as representatives of two different categories, then a number (m) of geometric characteristics per object is determined by calculating various whole-number wave functions. Then, the objects are classified on the basis of the defined number of geometric characteristics or partial quantities. The previously required segmentation of the objects can be carried out according to the inventive method.
摘要翻译：分割方法包括几个步骤，其中在第一步骤中用户在n维特征空间中选择单个数据空间。该选择的数据空间基本上被系统解释为包含要分割的至少两类对象。在以下步骤中，系统首先确定n维特征空间中的分离函数，以区分至少两个类，然后将该分离函数应用于整个数据空间或大部分数据空间。然后将分割结果实时地呈现给用户。本发明还涉及一种用于根据在n维数据空间中根据任何方法分割的对象的几何特征对对象进行分类的方法。在第一步中，选择至少两个对象作为两个不同类别的代表，然后通过计算各种全数波函数来确定每个对象的几何特征数（m）。然后，基于确定的几何特征或部分量的数量来对对象进行分类。可以根据本发明的方法执行对象的先前需要的分割。

2. 发明授权

US5709209A Ultrasound signal processing system 失效
标题翻译：超声信号处理系统
公开(公告)号：US5709209A
公开(公告)日：1998-01-20
申请号：US729057
申请日：1996-10-10
申请人： Barry Friemel , John Klepper , Wolf DeLong , Rodney Boleyn , Ekkehard Blanz , Abdelaziz Chihoub
发明人： Barry Friemel , John Klepper , Wolf DeLong , Rodney Boleyn , Ekkehard Blanz , Abdelaziz Chihoub
IPC分类号： A61B8/00 , A61B8/06 , G01S7/52
CPC分类号： G01S7/52034 , A61B8/00 , A61B8/06
摘要： An ultrasound medical imaging system having a flexible, versatile and programmable architecture, particularly with respect to a back end subsystem. The architecture for the back end subsystem is generalized and includes multiple identical and interchangeable processing elements or boards that combine to produce sufficient processing power to support real time imaging in the various modes of ultrasound operations. The architecture may also tune front end parameters for a front end subsystem based on back end processing, bypass faulty processing elements or boards, and/or distribute processing load across operational processing elements or boards. A method for operating such an ultrasound medical imaging system is also disclosed.
摘要翻译：一种超声医疗成像系统，具有灵活，通用和可编程的结构，特别是相对于后端子系统。用于后端子系统的架构是广义的，并且包括多个相同和可互换的处理元件或板，其组合以产生足够的处理能力以支持各种超声操作模式中的实时成像。该架构还可以基于后端处理，旁路故障处理元件或板来调整前端子系统的前端参数和/或在操作处理元件或板上分配处理负载。还公开了一种用于操作这种超声医学成像系统的方法。

3. 发明授权

US08189915B2 Method for segmentation in an n-dimensional feature space and method for classifying objects in an n-dimensional data space which are segmented on the basis of geometric characteristics 有权
标题翻译：用于在n维特征空间中进行分割的方法和用于对根据几何特征分割的n维数据空间中的对象进行分类的方法
公开(公告)号：US08189915B2
公开(公告)日：2012-05-29
申请号：US12081142
申请日：2008-04-11
申请人： Wolf Delong
发明人： Wolf Delong
IPC分类号： G06K9/34
CPC分类号： G06K9/00127 , G06T7/11 , G06T7/194 , G06T2207/10056 , G06T2207/20104 , G06T2207/30024
摘要： A segmentation method includes several steps wherein a single data space is selected by the user in an n-dimensional feature space in a first step. This selected data space is basically interpreted by the system as containing at least two classes of objects to be segmented. In the following steps, the system first determines a separation function in the n-dimensional feature space for differentiating the at least two classes and then applies this separation function to the entire data space or a large part of the data space. The segmentation result is then visually presented to the user in real time. The invention also relates to a method for classifying objects on the basis of geometric characteristics of objects previously segmented according to any method in an n-dimensional data space. In a first step, at least two objects are selected as representatives of two different categories, then a number (m) of geometric characteristics per object is determined by calculating various whole-number wave functions. Then, the objects are classified on the basis of the defined number of geometric characteristics or partial quantities. The previously required segmentation of the objects can be carried out according to the inventive method.
摘要翻译：分割方法包括几个步骤，其中在第一步骤中用户在n维特征空间中选择单个数据空间。该选择的数据空间基本上被系统解释为包含要分割的至少两类对象。在以下步骤中，系统首先确定n维特征空间中的分离函数，以区分至少两个类，然后将该分离函数应用于整个数据空间或大部分数据空间。然后将分割结果实时地呈现给用户。本发明还涉及一种用于根据在n维数据空间中根据任何方法分割的对象的几何特征对对象进行分类的方法。在第一步中，选择至少两个对象作为两个不同类别的代表，然后通过计算各种全数波函数来确定每个对象的几何特征数（m）。然后，基于确定的几何特征或部分量的数量来对对象进行分类。可以根据本发明的方法执行对象的先前需要的分割。

4. 发明授权

US5544657A Ultrasound blood flow monitor of the non-doppler type 失效
标题翻译：非多普勒型超声血流监测仪
公开(公告)号：US5544657A
公开(公告)日：1996-08-13
申请号：US304103
申请日：1994-09-09
申请人： Lorenz V. Kurowski , Wolf-Ekkehard Blanz , Wolf Delong
发明人： Lorenz V. Kurowski , Wolf-Ekkehard Blanz , Wolf Delong
IPC分类号： A61B8/06 , G01S15/58 , G01S15/89 , A61B8/00
CPC分类号： G01S15/8984 , A61B8/06 , G01S15/586 , G01S15/8979
摘要： Reflected-back ultrasound waves are recorded and rebinned in accordance with a particular data classification scheme. In a post processing step, the data is processed to remove the effect of stationary scatterers (such as slowly-moving body structure) and features of the processed data are computer-traced to determine e.g. the velocity of the patient's blood stream.
摘要翻译：根据特定的数据分类方案记录和重新组合反射超声波。在后处理步骤中，处理数据以消除固定散射体（例如缓慢移动的身体结构）的影响，并且对计算机跟踪处理的数据的特征进行计算机跟踪。患者血流的速度。

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