专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20160292372A1 METHOD TO IDENTIFY OPTIMUM CORONARY ARTERY DISEASE TREATMENT 审中-公开
标题翻译：识别最佳冠状动脉疾病治疗的方法
公开(公告)号：US20160292372A1
公开(公告)日：2016-10-06
申请号：US14442517
申请日：2013-11-15
申请人： Ali KAMEN , Maneesh Kumar SINGH , Sebastian POELSTERL , Lance Anthony LADIC , Dorin COMANICIU
发明人： Ali Kamen , Maneesh Kumar Singh , Sebastian Poelsterl , Lance Anthony Ladic , Dorin Comaniciu
IPC分类号： G06F19/00 , G06N3/04 , G06N3/08
CPC分类号： G16H50/20 , G06N3/0472 , G06N3/08
摘要： A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.
摘要翻译：一种鉴定患有冠状动脉疾病的患者的最佳治疗的方法，包括：（i）提供患者信息，所述患者信息选自：（a）患者中一种或多种冠状动脉疾病相关生物标志物的状态; （b）从先前情况史，干预史和用药史选择的一项或多项病史信息; （c）患者具有诊断史的一项或多项诊断史; 和（d）一个或多个人口统计数据项目; （ii）在以下方面聚合患者信息：（a）贝叶斯网络; （b）机器学习和神经网络; （c）基于规则的制度; 和（d）基于回归的系统; （iii）通过放置裸金属支架或药物涂层的支架，导出包括经皮冠状动脉介入的每个干预的预测概率不良事件结果; 或通过冠状动脉旁路移植术; 和（iv）确定具有最低预测概率不良结果的干预。

2. 发明授权

US08683461B2 System and method for deployment of configuration and analysis software 有权
标题翻译：用于部署配置和分析软件的系统和方法
公开(公告)号：US08683461B2
公开(公告)日：2014-03-25
申请号：US11326232
申请日：2006-01-05
申请人： Lance Anthony Ladic , John Pearson , David Rapaport , Lawrence Tarbox , Gianluca Paladini
发明人： Lance Anthony Ladic , John Pearson , David Rapaport , Lawrence Tarbox , Gianluca Paladini
IPC分类号： G06F9/445
CPC分类号： G06F8/61 , G06F8/60
摘要： The present invention discloses a method and system for deploying software, e.g., software modules designed for acquisition and/or post-processing of images related to a particular imaging agent. The modules can be remotely accessed from a software server.
摘要翻译：本发明公开了一种用于部署软件的方法和系统，例如设计用于与特定成像代理相关的图像的获取和/或后处理的软件模块。可以从软件服务器远程访问模块。

3. 发明申请

US20100121172A1 MICROSCOPIC AND MACROSCOPIC DATA FUSION FOR BIOMEDICAL IMAGING 审中-公开
标题翻译：用于生物医学成像的微观和宏观数据融合
公开(公告)号：US20100121172A1
公开(公告)日：2010-05-13
申请号：US12369847
申请日：2009-02-12
申请人： Lance Anthony Ladic , Gianluca Paladini
发明人： Lance Anthony Ladic , Gianluca Paladini
IPC分类号： A61B5/05
CPC分类号： A61B5/00 , G06T7/33 , G06T7/38 , G06T2207/10056 , G06T2207/30024
摘要： Macroscopic imaging data, such as CT, MR, PET, or SPECT, is obtained. Microscopic imaging data of at least a portion of the same tissue is obtained. The microscopic imaging data is spatially aligned with the macroscopic imaging data. The spatial alignment allows calculation and/or imaging using both types of data as a multi-resolution data set. A given image may include information about the relative position of the microscopically imaged tissue to the macroscopically imaged body portion. This positional relationship may allow viewing of affects or changes at cellular levels as well as less detailed tissue structure or organism levels and may allow determination of any correlation between changes in both levels.
摘要翻译：获得宏观成像数据，如CT，MR，PET或SPECT。得到至少一部分相同组织的显微成像数据。显微成像数据与宏观成像数据在空间上对齐。空间对准允许使用两种类型的数据作为多分辨率数据集的计算和/或成像。给定的图像可以包括关于微观成像的组织相对于宏观成像的身体部分的相对位置的信息。这种位置关系可以允许查看细胞水平的影响或变化以及较不详细的组织结构或生物体水平，并且可以允许确定两个水平的变化之间的任何相关性。

4. 发明申请

US20090268966A1 IDENTIFICATION, CLASSIFICATION AND COUNTING OF TARGETS OF INTEREST IN MULTISPECTRAL IMAGE DATA 有权
标题翻译：多目标图像数据中的目标识别，分类和计数
公开(公告)号：US20090268966A1
公开(公告)日：2009-10-29
申请号：US12409659
申请日：2009-03-24
申请人： Leo Grady , Lance Anthony Ladic
发明人： Leo Grady , Lance Anthony Ladic
IPC分类号： G06K9/46
CPC分类号： G06T5/002 , G06K9/00134 , G06T5/20 , G06T5/50 , G06T2207/10056 , G06T2207/10064 , G06T2207/20032 , G06T2207/20036 , G06T2207/20224 , G06T2207/30024
摘要： An imaging system for detecting targets of interest (TOIs) in multispectral imaging data includes a memory device storing a plurality of instructions embodying the system for detecting TOIs, a processor for receiving the multispectral imaging data and executing the plurality of instructions to perform a method including determining a list of events collocated across images of the multispectral imaging data and labeling each event as one of a TOI or non-TOI.
摘要翻译：一种用于在多光谱成像数据中检测感兴趣目标（TOI）的成像系统包括：存储器，其存储体现用于检测TOI的系统的多个指令;处理器，用于接收多光谱成像数据，并执行多个指令以执行包括确定跨越多光谱成像数据的图像并置的事件的列表，并将每个事件标记为TOI或非TOI之一。

5. 发明授权

US11450431B2 Method to identify optimum coronary artery disease treatment 有权
公开(公告)号：US11450431B2
公开(公告)日：2022-09-20
申请号：US14442517
申请日：2013-11-15
申请人： Ali Kamen , Maneesh Kumar Singh , Sebastian Poelsterl , Lance Anthony Ladic , Dorin Comaniciu
发明人： Ali Kamen , Maneesh Kumar Singh , Sebastian Poelsterl , Lance Anthony Ladic , Dorin Comaniciu
IPC分类号： G06N3/04 , G06N3/08 , G16H50/20 , G16Z99/00
摘要： A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.

6. 发明授权

US08379944B2 Identification, classification and counting of targets of interest in multispectral image data 有权
标题翻译：多光谱图像数据的目标识别，分类和计数
公开(公告)号：US08379944B2
公开(公告)日：2013-02-19
申请号：US12409659
申请日：2009-03-24
申请人： Leo Grady , Lance Anthony Ladic
发明人： Leo Grady , Lance Anthony Ladic
IPC分类号： G06K9/00
CPC分类号： G06T5/002 , G06K9/00134 , G06T5/20 , G06T5/50 , G06T2207/10056 , G06T2207/10064 , G06T2207/20032 , G06T2207/20036 , G06T2207/20224 , G06T2207/30024
摘要： An imaging system for detecting targets of interest (TOIs) in multispectral imaging data includes a memory device storing a plurality of instructions embodying the system for detecting TOIs, a processor for receiving the multispectral imaging data and executing the plurality of instructions to perform a method including determining a list of events collocated across images of the multispectral imaging data and labeling each event as one of a TOI or non-TOI.
摘要翻译：一种用于在多光谱成像数据中检测感兴趣目标（TOI）的成像系统包括：存储器，其存储体现用于检测TOI的系统的多个指令;处理器，用于接收多光谱成像数据，并执行多个指令以执行包括确定跨越多光谱成像数据的图像并置的事件的列表，并将每个事件标记为TOI或非TOI之一。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式