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1.发明授权Optical scanning device having a distance sensor and a determined focal distance for scanning objects 失效具有距离传感器和确定的用于扫描物体的焦距的光学扫描装置公开(公告)号：US07491956B2
公开(公告)日：2009-02-17
申请号：US11699722
申请日：2007-01-29
IPC分类号： G01N21/86
CPC分类号： G02B27/40 , A61B5/0059 , A61B5/0064
摘要： An optical scanning device is provided. The optical scanning device an excitation light source that is operable to illuminate the object to be scanned. An image detector is operable to detect excited emission rays through illumination of the object to be scanned by the excitation light source and imaging optics that dictate a focal distance. The image detector detects a scan image of the emission radiation of the object to be scanned with the highest level of image sharpness if the focal distance is maintained. A control device includes a distance sensor through which a distance between an optical scanning device and the object to be scanned can be measured, wherein maintenance of the focal distance as the function of the measured distance can be checked by the control device.
摘要翻译： 提供光学扫描装置。 光学扫描装置可操作以照射被扫描物体的激发光源。 图像检测器可操作以通过照射由激发光源和要求焦距的成像光学元件来扫描的物体来检测激发的发射光线。 如果保持焦距，图像检测器以最高水平的图像清晰度检测待扫描对象的发射辐射的扫描图像。 控制装置包括距离传感器，通过该距离传感器可以测量光学扫描装置与待扫描物体之间的距离，其中通过控制装置可以检测作为测量距离的函数的焦距的维持。
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公开(公告)号：US07447359B2
公开(公告)日：2008-11-04
申请号：US11219487
申请日：2005-09-02
申请人： Zhuowen Tu , Xiang Zhou , Dorin Comaniciu , Christian P. Schultz
发明人： Zhuowen Tu , Xiang Zhou , Dorin Comaniciu , Christian P. Schultz
IPC分类号： G06K9/00
CPC分类号： G06K9/6256 , G06T7/11 , G06T7/143 , G06T2207/10072 , G06T2207/30004
摘要： A method for segmenting a digitized image includes providing a digitized image comprising a plurality of intensities defined on a lattice of pixels, initializing a Bayesian prior probability and likelihood function for segmenting said image, decomposing said image into a union of a plurality of subspaces wherein each subspace is a product of k-partitions, and distributing a plurality Bayesian posterior probability functions over said subspaces, updating said Bayesian posterior probability functions via a data-driven Markov-chain, and selecting a subset of said Bayesian posterior probability functions that approximate a true Bayesian posterior probability function.
摘要翻译： 用于分割数字化图像的方法包括提供包括在像素格子上定义的多个强度的数字化图像，初始化贝叶斯先验概率和用于分割所述图像的似然函数，将所述图像分解成多个子空间的并集，其中每个子空间 子空间是k分区的乘积，并且在所述子空间上分布多个贝叶斯后验概率函数，经由数据驱动马尔科夫链更新所述贝叶斯后验概率函数，并且选择近似真实的所述贝叶斯后验概率函数的子集 贝叶斯后验概率函数。
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公开(公告)号：US08452065B2
公开(公告)日：2013-05-28
申请号：US12717356
申请日：2010-03-04
IPC分类号： G06K9/00
CPC分类号： A61B5/055 , A61B5/415 , A61B5/418 , G06K2209/053 , G06T7/0016 , G06T2207/10088 , G06T2207/10092 , G06T2207/30096
摘要： A system detects malignant lymph nodes using an MR imaging device, for, in the absence of a contrast agent, acquiring in a patient anatomical volume of interest including lymph nodes, (a) a first image using a variable flip angle, lymph node enhanced contrast, MR image acquisition process, (b) a second image using a susceptibility weighting imaging acquisition process and (c) a third image using a diffusion weighting imaging acquisition process. In the presence of a contrast agent absorbed by benign lymph nodes, MR imaging device acquires in the patient anatomical volume of interest, (d) a fourth image using a susceptibility weighting imaging acquisition process. A display processor processes data representing the first, second, third and fourth images for display of malignant and benign lymph nodes on a reproduction device.
摘要翻译： 系统使用MR成像装置检测恶性淋巴结，因为在没有造影剂的情况下，在病人的解剖学体积中包括淋巴结获得，（a）使用可变翻转角的第一图像，淋巴结增强的对比度 ，MR图像获取处理，（b）使用磁敏度加权成像获取处理的第二图像和（c）使用扩散加权成像获取处理的第三图像。 在由良性淋巴结吸收的造影剂的存在下，MR成像装置获取患者解剖体积的兴趣，（d）使用敏感性加权成像获取过程的第四图像。 显示处理器处理表示第一，第二，第三和第四图像的数据，以在再现设备上显示恶性和良性淋巴结。
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公开(公告)号：US20130245389A1
公开(公告)日：2013-09-19
申请号：US13718023
申请日：2012-12-18
申请人： Christian P. Schultz , Justinian Rosca , Heiko Claussen , Carolyn Joiner , Steven A. Russell , Nazif Tas
发明人： Christian P. Schultz , Justinian Rosca , Heiko Claussen , Carolyn Joiner , Steven A. Russell , Nazif Tas
IPC分类号： A61B5/00
CPC分类号： A61B5/0002 , A61B5/0077 , A61B5/02 , A61B5/0205 , A61B5/024 , A61B5/0402 , A61B5/0813 , A61B5/14542 , A61B5/68 , A61B5/6892 , G06F19/00 , G06F19/3418 , G08B21/0461 , G08B25/10 , G16H50/20 , G16H50/70
摘要： A patient monitoring and intervention system, comprises an interface for receiving data representing multiple different parameters from multiple different sensors, comprising sensors in a patient bed and attached to a patient including, a heart rate sensor, a respiration sensor and a pressure sensor indicating bed pressure points. A learning processor determines a normal range for a set of the different received patient parameters for the patient by recording the patient parameter values over a time period and analyzing the recorded parameter values to determine their range. A data processor determines if the set of different received patient parameters exceeds the determined normal range and in response to this determination and in response to the type of parameters in the set and medical record information of the patient, initiates adjustment of a patient bed and at least one of, (a) changes medication administered to a patient and (b) alerts a worker of the patient parameter change.
摘要翻译： 一种患者监测和干预系统，包括用于从多个不同传感器接收表示多个不同参数的数据的接口，包括患者床中的传感器并附接到患者，所述传感器包括心率传感器，呼吸传感器和指示床压的压力传感器 积分 学习处理器通过在一段时间内记录患者参数值来确定用于患者的一组不同接收的患者参数的正常范围，并分析记录的参数值以确定其范围。 数据处理器确定不同接收到的患者参数的集合是否超过确定的正常范围，并且响应于该确定，并且响应于患者的设置和医疗记录信息中的参数的类型，启动患者床的调整 至少一个，（a）改变向患者施用的药物，和（b）警告工作者患者参数变化。
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公开(公告)号：US20120186988A1
公开(公告)日：2012-07-26
申请号：US13387921
申请日：2010-07-07
IPC分类号： C25B3/00
CPC分类号： C07B59/00 , C25B3/04 , Y02P20/142
摘要： A method produces a radioactively marked carboxylate, at least one precursor molecule of the carboxylate being prepared in a solvent including a conductive salt. Radioactively marked carbon dioxide is fed into the solvent. The precursor molecule is electrochemically reacted with the radioactively marked carbon dioxide to form the radioactively marked carboxylate. The radioactively marked carbon dioxide is completely dissolved in the solvent when the precursor molecule is reacted. The radioactively marked carbon dioxide is used for electrochemically synthesizing a radioactively marked carboxylate, the carbon dioxide being completely dissolved in a solvent during synthesis. A microstructure is used for electrochemically synthesizing the radioactively marked carboxylate, radioactively marked carbon dioxide being reacted.
摘要翻译： 一种方法产生放射性标记的羧酸酯，至少一种羧酸酯的前体分子在包括导电盐的溶剂中制备。 将放射性标记的二氧化碳进料到溶剂中。 前体分子与放射性标记的二氧化碳电化学反应形成放射性标记的羧酸盐。 当前体分子反应时，放射性标记的二氧化碳完全溶解在溶剂中。 放射性标记的二氧化碳用于电化学合成放射性标记的羧酸盐，二氧化碳在合成过程中完全溶解在溶剂中。 微结构用于电化学合成放射性标记的羧酸盐，被反应的放射性标记的二氧化碳。
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公开(公告)号：US20100232667A1
公开(公告)日：2010-09-16
申请号：US12717356
申请日：2010-03-04
CPC分类号： A61B5/055 , A61B5/415 , A61B5/418 , G06K2209/053 , G06T7/0016 , G06T2207/10088 , G06T2207/10092 , G06T2207/30096
摘要： A system detects malignant lymph nodes using an MR imaging device, for, in the absence of a contrast agent, acquiring in a patient anatomical volume of interest including lymph nodes, (a) a first image using a variable flip angle, lymph node enhanced contrast, MR image acquisition process, (b) a second image using a susceptibility weighting imaging acquisition process and (c) a third image using a diffusion weighting imaging acquisition process. In the presence of a contrast agent absorbed by benign lymph nodes, MR imaging device acquires in the patient anatomical volume of interest, (d) a fourth image using a susceptibility weighting imaging acquisition process. A display processor processes data representing the first, second, third and fourth images for display of malignant and benign lymph nodes on a reproduction device.
摘要翻译： 系统使用MR成像装置检测恶性淋巴结，因为在不存在造影剂的情况下，在患者的解剖体积中包括淋巴结获取，（a）使用可变翻转角的第一图像，淋巴结增强的对比度 ，MR图像获取处理，（b）使用磁敏度加权成像获取处理的第二图像和（c）使用扩散加权成像获取处理的第三图像。 在由良性淋巴结吸收的造影剂的存在下，MR成像装置获取患者解剖体积的兴趣，（d）使用敏感性加权成像获取过程的第四图像。 显示处理器处理表示第一，第二，第三和第四图像的数据，以在再现设备上显示恶性和良性淋巴结。
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公开(公告)号：US07421415B2
公开(公告)日：2008-09-02
申请号：US11215249
申请日：2005-08-30
IPC分类号： G06F15/18
CPC分类号： G06K9/6256 , G06K2209/05
摘要： In a method of 3D object detection, a learning procedure is used for feature selection from a feature set based on an annotated image-volume database, generating a set of selected features. A classifier is built using a classification scheme to distinguish between an object location and a non-object location and using the set of selected features. The classifier is applied at a candidate volume to determine whether the candidate volume contains an object of interest.
摘要翻译： 在3D对象检测的方法中，学习过程用于基于注释的图像体积数据库的特征集的特征选择，生成一组选定的特征。 使用分类方案构建分类器来区分对象位置和非对象位置并使用所选择的特征集合。 分类器应用于候选卷以确定候选卷是否包含感兴趣的对象。
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