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1.发明公开3D SEGMENTATION OF TARGETS IN MULTISLICE IMAGES 审中-公开3D SEGMENTIERUNG VON ZIELE IN MEHRSCHICHTIGEN BILDER
公开(公告)号：EP1733355A1
公开(公告)日：2006-12-20
申请号：EP04813004.1
申请日：2004-12-06
CPC分类号： G06K9/34 , G06K2209/053
摘要： A method for three-dimensional segmentation of a target in multislice images of volumetric data includes determining a center and a spread of the target by a parametric fitting of the volumetric data (201), and determining a three-dimensional volume by non-parametric segmentation of the volumetric data iteratively refining the center and spread of the target in the volumetric data (202).
摘要翻译： 用于体积数据的多层图像中的目标的三维分割的方法包括通过体积数据的参数拟合来确定目标的中心和扩展，以及通过体积数据的非参数分割来确定三维体积 数据迭代地改进了体积数据中的目标的中心和扩展。
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2.发明公开SYSTEM AND METHOD FOR MONITORING DISEASE PROGRESSION OR RESPONSE TO THERAPY USING MULTI-MODAL VISUALIZATION 审中-公开系统和方法用于监测疾病的进展，或对治疗的反应使用多模式显像
公开(公告)号：EP1766578A2
公开(公告)日：2007-03-28
申请号：EP05762772.1
申请日：2005-06-15
发明人： RAMAMURTHY, Venkat Raghavan , KRISHNAN, Arun , BELDINGER, Christian , SOLDNER, Juergen , MAMIN, Maxim , BARTH, Axel , KAPPLINGER, Stefan , GLUTH, Michael , HAWMAN, Peggy , BURCKHARDT, Darrell Dennis , PLATZ, Axel
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/38 , G06T2207/30004 , G06T2219/2012
摘要： A system and method for monitoring disease progression or response to therapy using multi-modal visualization are provided. The method comprises: selecting a first image dataset of a first timepoint (310); loading the first image dataset of the first timepoint (320); selecting a second image dataset of a second timepoint (330); loading the second image dataset of the second timepoint (340); registering the first image dataset of the first timepoint and the second image dataset of the second timepoint (350); and displaying the first image dataset of the first timepoint and the second image dataset of the second timepoint (360).
摘要翻译： 提供了一种用于监测疾病进展或使用多模态的可视化对治疗的反应系统和方法。 该方法包括：选择第一时间点的第一图像数据集; 装载在第一时间点的第一图像数据集; 选择第二时间点的第二图像数据集; 加载所述第二时间点的第二图像数据集; 登记所述第一时间点和第二时间点的第二图像数据集的所述第一图像数据集; 并显示在第一时间点的第一图像数据集和所述第二时间点的第二图像数据集。
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3.发明公开CAD (COMPUTER-AIDED DECISION) SUPPORT FOR MEDICAL IMAGING USING MACHINE LEARNING TO ADAPT CAD PROCESS WITH KNOWLEDGE COLLECTED DURING ROUTINE USE OF CAD SYSTEM 审中-公开支持的CAD（计算机辅助决策）医疗用图表利用机器学习适应行动与CAD处理在使用过程中的CAD系统的知识积累的日常使用
公开(公告)号：EP1639524A2
公开(公告)日：2006-03-29
申请号：EP04777218.1
申请日：2004-06-28
发明人： KRISHNAN, Arun , STOECKEL, Jonathan
IPC分类号： G06K9/62
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/321 , G06Q50/22 , G06T2207/30004 , G16H40/63 , G16H50/20 , Y10S128/922
摘要： CAD (computer-aided decision) support systems, methods and tools for medical imaging are provided, which use machine learning classification for automated detection and marking of regions of interest in medical images. Machine learning methods are used for adapting/optimizing a CAD process by seamlessly incorporating physician knowledge into the CAD process using training data that is obtained during routine use of the CAD system.
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4.发明公开SYSTEM AND METHOD FOR AUTOMATIC TRIGGER-ROI DETECTION AND MONITORING DURING BOLUS TRACKING 有权系统和方法自动触发，ROI检测和监测造影剂跟踪
公开(公告)号：EP2410914A1
公开(公告)日：2012-02-01
申请号：EP10710983.7
申请日：2010-03-25
发明人： FEUERLEIN, Ute , KRISHNAN, Arun , ZHOU, Xiang Sean
摘要： A method for bolus tracking includes acquiring one or more baseline images (S12). One or more trigger regions are automatically established within the baseline images (S14). A bolus is administered (S13). The automatically established trigger regions are monitored for bolus arrival at the one or more trigger regions (S17). Bolus arrival at a volume of interest is forecasted based on the bolus arrival at the one or more trigger regions (S18). A diagnostic scan of the volume of interest is acquired at the forecasted time (S19).
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5.发明公开SYSTEM AND METHOD FOR LINKING VOIS ACROSS TIMEPOINTS FOR ANALYSIS OF DISEASE PROGRESSION OR RESPONSE TO THERAPY 审中-公开系统和方法有关病情进展时代的分析或治疗的反应CONNECTING权益之卷（VOIS）
公开(公告)号：EP1769458A2
公开(公告)日：2007-04-04
申请号：EP05785521.5
申请日：2005-06-13
发明人： RAMAMURTHY, Venkat, Raghavan , KRISHNAN, Arun , BELDINGER, Christian , SOLDNER, Juergen , MAMIN, Maxim , BARTH, Axel , KAPPLINGER, Stefan , GLUTH, Michael , HAWMAN, Peggy , BURCKHARDT, Darrell, Dennis , PLATZ, Axel
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06F19/00 , G06T5/50 , G06T7/38 , G06T2200/04 , G06T2200/24 , G06T2207/20104 , G06T2207/30004
摘要： A system and method for linking volumes of interest (VOIs) across timepoints are provided. The method comprises: loading an image dataset of a first timepoint and an image dataset of a second timepoint; registering the image dataset of the first timepoint and the image dataset of the second timepoint; displaying the image dataset of the first timepoint and the image dataset of the second timepoint; selecting a VOI in the image dataset of the first timepoint and the image dataset of the second timepoint; and linking the VOIs in the image dataset of the first timepoint and the image dataset of the second timepoint.
摘要翻译： 提供了一种用于连接的各时间点的兴趣（VOI）卷的系统和方法。 该方法包括：加载一个第一时间点的一图像数据集和第二时间点的图像数据集; 登记所述第一时间点和第二时间点的图像数据集的图像数据集; 显示所述第一时间点和第二时间点的图像数据集的图像数据集; 在第一时间点和第二时间点的图像数据集的图像数据集选择VOI; 和连接所述VOI在第一时间点的图像数据集和第二时间点的图像数据集。
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6.发明授权SYSTEM AND METHOD FOR AUTOMATIC TRIGGER-ROI DETECTION AND MONITORING DURING BOLUS TRACKING 有权系统和方法自动触发，ROI检测和监测造影剂跟踪
公开(公告)号：EP2410914B1
公开(公告)日：2015-07-29
申请号：EP10710983.7
申请日：2010-03-25
发明人： FEUERLEIN, Ute , KRISHNAN, Arun , ZHOU, Xiang Sean
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7.发明公开SYSTEM AND METHOD FOR LOADING TIMEPOINTS FOR ANALYSIS OF DISEASE PROGRESSION OR RESPONSE TO THERAPY 审中-公开系统和方法的加载时间对疾病进展的疗法进行分析，或响应
公开(公告)号：EP1766577A1
公开(公告)日：2007-03-28
申请号：EP05761779.7
申请日：2005-06-15
发明人： RAMAMURTHY, Venkat Raghavan , KRISHNAN, Arun , BELDINGER, Christian , SOLDNER, Juergen , MAMIN, Maxim , BARTH, Axel , KAPPLINGER, Stefan , GLUTH, Michael , HAWMAN, Peggy , BURCKHARDT, Darrell Dennis , PLATZ, Axel
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/321 , G06T7/38 , G06T2207/30004 , G16H10/60
摘要： A system and method for loading a timepoint for comparison with a previously loaded timepoint are provided. The method comprises: selecting an image dataset of the timepoint; validating the image dataset of the timepoint against a validated image dataset of the previously loaded timepoint; and constructing a volume based on the image dataset of the timepoint.
摘要翻译： 本发明提供一种用于装载的时间点用于与先前加载的时间点比较的系统和方法。 该方法包括：选择的时间点的图像数据集; 验证对先前加载的时间点的经过验证的图像数据集的时间点的图像数据集; 和构建基于所述时间点的图像数据集的体积。
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公开(公告)号：EP1654687A1
公开(公告)日：2006-05-10
申请号：EP04781155.9
申请日：2004-08-13
发明人： KRISHNAN, Arun
IPC分类号： G06F19/00
CPC分类号： G06T7/0012 , G06T2200/24 , G06T2207/10072 , G06T2207/10116 , G06T2207/20104 , G06T2207/30032 , G06T2207/30064 , Y10S128/922
摘要： CAD (computer-aided decision) support systems, methods and tools are provided for automated decision support for screening, evaluating, and/or diagnosing medial conditions. For example, CAD support systems and tools implement methods for automatically processing patient data for a subject patient using various interpretation methods, and integrally rendering and presenting the interpretation results to a user (e.g., physician, radiologist, etc.) in a manner that enables fast and efficient screening, evaluation, and/or diagnosis of potential medical conditions of the subject patient.
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9.发明公开COMPUTER-AIDED DETECTION SYSTEMS AND METHODS FOR ENSURING MANUAL REVIEW OF COMPUTER MARKS IN MEDICAL IMAGES 审中-公开计算机辅助检测系统和方法来保证医学图像电脑商标的人工审核
公开(公告)号：EP1602056A2
公开(公告)日：2005-12-07
申请号：EP04719729.8
申请日：2004-03-11
发明人： KRISHNAN, Arun
IPC分类号： G06F19/00
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/321 , G06T2207/30004
摘要： CAD (computer-aided detection) systems, methods and tools are provided for automatically inserting "false" marks (e.g., incorrect marks, misleading marks, etc.) in medical images to ensure an unbiased CAD-assisted review of the marked medical images by physicians, clinicians, radiologists, etc. For example, a method for automatic detection of medical conditions in medical images includes the steps of receiving image data, processing the image data to detect potential medical conditions in the image data, adding a mark in the image data that indicates a detected medical condition, adding a false mark in the image data; and outputting marked image data comprising one or more marks that indicate a detected medical condition, or one or more false marks, or both. The individual performing a CAD-assisted review of the "marked" image data is aware that one or more "false" marks may be included in displayed images, which prevents blind reliance on the CAD results.
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