公开(公告)号：US20090125334A1

公开(公告)日：2009-05-14

申请号：US12255100

申请日：2008-10-21

申请人： Sriram Krishnan ,  Debarshi Datta ,  R. Bharat Rao

发明人： Sriram Krishnan ,  Debarshi Datta ,  R. Bharat Rao

IPC分类号： G06Q50/00 ,  G06F17/00 ,  G06F17/30

CPC分类号： G06Q10/00 ,  G06F19/325 ,  G06F19/3481 ,  G06Q30/0201 ,  G06Q50/22 ,  G06Q50/24 ,  G16H50/20

摘要： A method for providing automatic decision support for the selection of a treatment protocol includes receiving information pertaining to the patient, the condition and the preferences partially or wholly by automatically parsing patient records. The information pertaining to the patient, the condition and the preferences may be partially or wholly ascertained by prompting a user for manual input of the desired data. The information is used to calculate one or more surrogate variables. A knowledge base including a plurality of treatment protocols is accessed and one or more of the plurality of treatment protocols are selected from the knowledge base based on the received information pertaining to the patient, the condition, and the preferences, the surrogate variables, and using a probabilistic framework. The selected treatment protocols are provided as treatment guidance.

摘要翻译： 提供用于选择治疗方案的自动决定支持的方法包括通过自动解析患者记录来部分或全部地接收与患者有关的信息，条件和偏好。 可以通过提示用户手动输入所需数据来部分或全部地确定与病人有关的信息，条件和偏好。 该信息用于计算一个或多个替代变量。 访问包括多个治疗协议的知识库，并且基于所接收的关于患者的信息，条件和偏好，代理变量以及使用的方式从知识库中选择多个治疗协议中的一个或多个 一个概率框架。 提供选定的治疗方案作为治疗指导。

公开(公告)号：US07457378B1

公开(公告)日：2008-11-25

申请号：US10792115

申请日：2004-03-02

申请人： Phillip M. Sher ,  Sriram Krishnan ,  Colm J. Prendergast ,  Edmund J. Balboni ,  Daniel E. Fague ,  Jeffrey R. Feigin ,  Thomas J. Liptay

发明人： Phillip M. Sher ,  Sriram Krishnan ,  Colm J. Prendergast ,  Edmund J. Balboni ,  Daniel E. Fague ,  Jeffrey R. Feigin ,  Thomas J. Liptay

IPC分类号： H04L27/08 ,  H04L27/06

CPC分类号： H04B1/28 ,  H04B1/0014 ,  H04B1/18

摘要： An RF receiver includes an analog GO circuit that recognizes the presence of a data packet within a received RF signal in the receiver's analog gain control section, and in response produces an analog GO signal, and a digital GO circuit that recognizes the presence of a data packet from the receiver's digital demodulator section, and in response produces a digital GO signal. Gain control functions within the analog gain control section, and digital demodulator functions within the digital demodulator section, are enabled in response to respective analog and digital GO signals. The system is capable of distinguishing a valid data packet from noise, co-channel interference and adjacent panel interference. A symbol timing recovery circuit within the receiver identifies periodic samples of a data packet preamble that most closely match the preamble bits, with the receiver employing a continuation of the identified periodic samples to decode the remainder of the data packet.

摘要翻译： RF接收机包括模拟GO电路，其识别接收机的模拟增益控制部分中接收的RF信号内的数据分组的存在，并且响应产生模拟GO信号，以及识别数据的存在的数字GO电路 来自接收机的数字解调器部分的数据包，并且作为响应产生数字GO信号。 模拟增益控制部分内的增益控制功能以及数字解调器部分内的数字解调器功能都可以响应各自的模拟和数字GO信号使能。 该系统能够区分有效的数据分组与噪声，同频道干扰和相邻的面板干扰。 接收机内的符号定时恢复电路识别最接近前同步码比特的数据分组前导码的周期性采样，接收机采用所识别的周期性采样的继续来解码数据分组的其余部分。

公开(公告)号：US20080214928A1

公开(公告)日：2008-09-04

申请号：US12038202

申请日：2008-02-27

申请人： Romer E. Rosales ,  Marianne Larissa Mueller ,  Sriram Krishnan ,  R. Bharat Rao

发明人： Romer E. Rosales ,  Marianne Larissa Mueller ,  Sriram Krishnan ,  R. Bharat Rao

IPC分类号： A61B5/05

CPC分类号： G06F19/34 ,  G06F19/3481 ,  G06Q50/22 ,  G06Q50/24 ,  G16H15/00 ,  G16H50/20 ,  G16H50/70

摘要： A system and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information as well as clinical records from other patients can reduce the uncertainty in both diagnosis and treatment options. The information maximization may consider additional data such as risk, cost, and comfort in making a proper medical decision.

摘要翻译： 公开了一种基于信息最大化的诊断和处理决策的系统和方法。 利用患者信息以及其他患者的临床记录，可以减少诊断和治疗方案的不确定性。 信息最大化可以考虑额外的数据，如风险，成本和舒适度，做出适当的医疗决策。

公开(公告)号：US20080044068A1

公开(公告)日：2008-02-21

申请号：US11465386

申请日：2006-08-17

申请人： Carl J. G. Evertsz ,  Anke Bodicker ,  Sriram Krishnan ,  Balaji Krishnapuram ,  R. Bharat Rao ,  Dennis O'Dell ,  Alok Gupta

发明人： Carl J. G. Evertsz ,  Anke Bodicker ,  Sriram Krishnan ,  Balaji Krishnapuram ,  R. Bharat Rao ,  Dennis O'Dell ,  Alok Gupta

IPC分类号： G06K9/00 ,  G06F3/00

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06T2207/30068

摘要： A method and an apparatus display marks in an image data set, wherein an image data set comprising marks is provided and wherein during a review phase not all marks within the image data set are displayed at the same time. A list of the marks can be generated by sorting the marks depending on a predetermined sorting criterion and wherein the marks are displayed temporally one after another within the image data set in accordance with the generated list. The image data set is for example a medical image data set, wherein the marks are CAD marks and wherein the sorting criterion is the probability of marking illness, in particular the suspiciousness.

摘要翻译： 方法和装置在图像数据组中显示标记，其中提供了包括标记的图像数据组，并且其中在检查阶段期间不是同时显示图像数据集内的所有标记。 可以通过根据预定的分类标准对标记进行排序来生成标记的列表，并且其中根据所生成的列表，在图像数据集中，这些标记在时间上依次显示。 图像数据集是例如医学图像数据集，其中标记是CAD标记，其中分类标准是标记疾病的概率，特别是可疑性。

公开(公告)号：US20060239527A1

公开(公告)日：2006-10-26

申请号：US11351060

申请日：2006-02-09

申请人： Sriram Krishnan ,  Dorin Comaniciu ,  Xiang Zhou ,  Bogdan Georgescu ,  Helene Houle ,  R. Rao

发明人： Sriram Krishnan ,  Dorin Comaniciu ,  Xiang Zhou ,  Bogdan Georgescu ,  Helene Houle ,  R. Rao

IPC分类号： G06K9/00

CPC分类号： A61B8/483 ,  A61B6/503 ,  A61B6/504 ,  A61B8/08 ,  A61B8/0883 ,  A61B8/0891

摘要： Three-dimensional cardiac border is delineated in medical imaging. A view is labeled, such as identifying a two-dimensional view as an apical four-chamber view. A three-dimensional border is detected as a function of the view label. For example, the view is associated from a plane through a volume and a known orientation relative to the heart. Labeling the view indicates the orientation of the heart in the scanned volume. By determining the orientation of the heart, border detection processes may be simplified or assisted.

摘要翻译： 在医学成像中描绘了三维心脏边界。 视图被标记，例如将二维视图识别为顶端四室视图。 根据视图标签检测三维边框。 例如，视图从平面通过体积和相对于心脏的已知取向相关联。 标注视图表示心脏在扫描体积中的方向。 通过确定心脏的方向，可以简化或辅助边界检测过程。

公开(公告)号：US20060200010A1

公开(公告)日：2006-09-07

申请号：US11365271

申请日：2006-03-01

申请人： Romer Rosales ,  Marianne Mueller ,  Sriram Krishnan ,  R. Rao

发明人： Romer Rosales ,  Marianne Mueller ,  Sriram Krishnan ,  R. Rao

IPC分类号： A61B5/00

CPC分类号： G06F19/34 ,  G06F19/00 ,  G06F19/3481 ,  G06Q50/22 ,  G06Q50/24 ,  G16H15/00 ,  G16H50/20 ,  G16H50/70

摘要： A system and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information as well as clinical records from other patients can reduce the uncertainty in both diagnosis and treatment options. The information maximization may consider additional data such as risk, cost, and comfort in making a proper medical decision.

摘要翻译： 公开了一种基于信息最大化的诊断和处理决策的系统和方法。 利用患者信息以及其他患者的临床记录，可以减少诊断和治疗方案的不确定性。 信息最大化可以考虑额外的数据，如风险，成本和舒适度，做出适当的医疗决策。

公开(公告)号：US20060064017A1

公开(公告)日：2006-03-23

申请号：US11231593

申请日：2005-09-21

申请人： Sriram Krishnan ,  Jinbo Bi ,  R. Rao ,  Jonathan Stoeckel ,  Matthew Otey

发明人： Sriram Krishnan ,  Jinbo Bi ,  R. Rao ,  Jonathan Stoeckel ,  Matthew Otey

IPC分类号： A61B8/02

CPC分类号： G06T7/0012 ,  G06K9/6217 ,  G06K9/6282 ,  G06T2207/30048

摘要： A cardiac view of a medical ultrasound image is automatically identified. By grouping different views into sub-categories, a hierarchal classifier identifies the views. For example, apical views are distinguished from parasternal views. Specific types of apical or parasternal views are identified based on distinguishing between images of the geneses. Different features are used for classifying, such as gradients, functions of the gradients, statistics of an average frame of data from a clip or sequence of frames, or a number of edges along a given direction. The number of features used may be compressed, such as by classifying a plurality of features into a new feature. For example, alpha weights in a model of features and classes are determined and used as features for classification.

摘要翻译： 医疗超声图像的心脏视图被自动识别。 通过将不同的视图分组到子类别中，层级分类器标识视图。 例如，顶端视图与胸骨旁观点不同。 基于区分基因图像来确定顶端或胸骨旁观察的具体类型。 不同的特征用于分类，例如梯度，梯度的功能，来自剪辑或帧序列的平均数据帧的统计，或沿给定方向的多个边缘的统计。 所使用的特征的数量可以被压缩，例如通过将多个特征分类为新特征。 例如，特征和类的模型中的α权重被确定并用作分类的特征。

公开(公告)号：US20050074154A1

公开(公告)日：2005-04-07

申请号：US10957380

申请日：2004-10-01

申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  Sriram Krishnan

发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  Sriram Krishnan

IPC分类号： G06K9/00 ,  G06T7/20

CPC分类号： G06T7/20 ,  G06T7/0016 ,  G06T7/251 ,  G06T2207/10132 ,  G06T2207/30048

摘要： A system and method for local deformable motion analysis and for accurately tracking motion of an object isolating local motion of an object from global motion of an object is disclosed. The object is viewed in an image sequence and image regions are sampled to identify object image regions and background image regions. The motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion. Motion from multiple background image regions are combined to measure the global motion in that image frame. The measured global motion in the object image regions are compensated to measure local motion of the object and the local motion of the object is tracked. A system and method for accurately measuring the local deformable motion of an object as the relative motion between two control point sets is disclosed. The point sets are defined as the inner contour and the outer contour of an object. The motion of the control point sets is estimated and the relative motion is used to characterize the local deformation and local motion of the object.

摘要翻译： 公开了一种用于局部可变形运动分析和用于精确跟踪物体的局部运动与对象的全局运动隔离的物体的运动的系统和方法。 以图像序列查看对象，并对图像区域进行采样以识别对象图像区域和背景图像区域。 估计所识别的背景图像区域中的至少一个的运动以识别受全局运动影响的那些背景图像区域。 来自多个背景图像区域的运动被组合以测量该图像帧中的全局运动。 在对象图像区域中测量的全局运动被补偿以测量对象的局部运动，并跟踪对象的局部运动。 公开了一种用于精确测量物体的局部可变形运动作为两个控制点组之间的相对运动的系统和方法。 点集被定义为对象的内轮廓和外轮廓。 估计控制点集的运动，并使用相对运动来表征对象的局部变形和局部运动。

公开(公告)号：US20050049497A1

公开(公告)日：2005-03-03

申请号：US10877129

申请日：2004-06-25

申请人： Sriram Krishnan ,  R. Rao ,  Murat Dundar ,  Glenn Fung

发明人： Sriram Krishnan ,  R. Rao ,  Murat Dundar ,  Glenn Fung

IPC分类号： A61B8/00 ,  G06F19/00 ,  G06T7/00

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/20084 ,  G06T2207/30068 ,  G16H40/63 ,  G16H50/20 ,  Y10S128/92 ,  Y10S128/922 ,  Y10S128/923 ,  Y10S128/924

摘要： CAD (computer-aided diagnosis) systems and applications for breast imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated diagnosis of breast cancer other automated decision support functions that enable decision support for, e.g., screening and staging for breast cancer. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to “learn” to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.

摘要翻译： 提供了用于乳腺成像的CAD（计算机辅助诊断）系统和应用，其实现了从受试患者的患者信息（包括图像数据和/或非图像数据）的集合中自动提取和分析特征的方法，以提供 对医生工作流程的各个方面的决策支持，包括例如乳腺癌的自动诊断其他自动化决策支持功能，其能够为乳腺癌的筛选和分期提供决策支持。 CAD系统实施机器学习技术，其使用从一个或多个相关临床领域的标记的患者病例的数据库获得（学习）的一组训练数据和/或对这些数据的专家解释，使得CAD系统能够“学习” 分析患者数据，进行适当的诊断评估和决策，以协助医师的工作流程。

公开(公告)号：US06290647B1

公开(公告)日：2001-09-18

申请号：US09347678

申请日：1999-07-02

申请人： Sriram Krishnan

发明人： Sriram Krishnan

IPC分类号： A61B800

CPC分类号： A61B8/481 ,  A61B8/08 ,  A61B8/14 ,  A61B8/488 ,  G01S7/52038 ,  G01S7/52039 ,  G01S7/5206 ,  G01S15/895 ,  G01S15/8979

摘要： The invention is directed to improvement in diagnostic medical ultrasound contrast agent imaging. Subharmonic and harmonic imaging are combined by generating a subharmonic frequency intensity value, generating a harmonic frequency intensity value, and generating display indicia as a function of both the subharmonic and harmonic intensity values. A first embodiment of the invention is directed to using predominantly harmonic information in one mode and predominantly subharmonic information in a second mode. A second embodiment of the invention is directed to combining harmonic and subharmonic information in the same mode.

摘要翻译： 本发明涉及诊断医学超声造影剂成像的改进。 次谐波和谐波成像通过产生次谐波频率强度值，产生谐波频率强度值和产生作为次谐波和谐波强度值的函数的显示标记相结合。 本发明的第一实施例涉及在一种模式中主要使用谐波信息，而在第二模式中主要使用次谐波信息。 本发明的第二实施例涉及在相同模式下组合谐波和次谐波信息。