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1. 发明申请

WO2009083844A1 METHOD AND DEVICE FOR CASE-BASED DECISION SUPPORT 审中-公开
标题翻译：基于案例决策支持的方法和设备
公开(公告)号：WO2009083844A1
公开(公告)日：2009-07-09
申请号：PCT/IB2008/055218
申请日：2008-12-11
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , AGNIHOTRI, Lalitha , BOROCZKY, Lilla , ZHAO, Luyin , LEE, Michael Chun-chieh
发明人： AGNIHOTRI, Lalitha , BOROCZKY, Lilla , ZHAO, Luyin , LEE, Michael Chun-chieh
IPC分类号： G06F19/00
CPC分类号： G06F19/345 , G06F19/00 , G16H50/20
摘要： This invention relates to a method and device for case-based decision support. It proposes that a case-based decision support system is trained on inputs from several radiologists in order to have a "baseline" system, and then the system provides an option to a radiologist to refine the baseline system based on his/her inputs which either refine weights of features for similarity distance computation directly or provide new similarity ground truth clusters. By enabling modifying the similarity distance computation based on user inputs, this invention adapts similarity ground truth to different users with different experience and/or different opinions.
摘要翻译：本发明涉及用于基于病例的决策支持的方法和装置。它建议对基于病例的决策支持系统进行培训，对多名放射科医师的投入进行培训，以便建立一个“基线”系统，然后该系统为放射科医师提供一个选择，以便根据他/她的输入来完善基线系统，优化直接相似度距离计算的特征权重或提供新的相似性地面真值聚类。通过使用基于用户输入的相似距离计算能够进行修改，本发明通过不同的经验和/或不同的观点，将不同用户的相似性原理进行了调整。

2. 发明申请

WO2009083841A1 METHOD AND APPARATUS FOR REFINING SIMILAR CASE SEARCH 审中-公开
标题翻译：改进类似案例搜索的方法和装置
公开(公告)号：WO2009083841A1
公开(公告)日：2009-07-09
申请号：PCT/IB2008/055204
申请日：2008-12-10
申请人： KONINKLIJKE PHILIPS ELECTRONICS, N.V. , BOROCZKY, Lilla , AGNIHOTRI, Lalitha , ZHAO, Luyin , LEE, Michael
发明人： BOROCZKY, Lilla , AGNIHOTRI, Lalitha , ZHAO, Luyin , LEE, Michael
IPC分类号： G06F19/00
CPC分类号： G16H50/70 , G06F19/00
摘要： The invention relates to search for cases in a database. According to the proposed method and apparatus, similarity matching is performed between an input case and a set of cases in an initial search to receive similar cases by- using a given matching criterion. Then statistics on image and non- image-based features associated with the similar cases are calculated and presented to the user with the similar cases. In a search refinement the similar cases are refined by additional features that are determined by the user based on the statistics. The search refinement can be iterative depending on the user's need.
摘要翻译：本发明涉及在数据库中搜索案例。根据所提出的方法和装置，在初始搜索的输入情况和一组情况之间执行相似性匹配，以通过使用给定的匹配准则来接收类似的情况。然后，与类似情况相关联的图像和基于非图像的特征的统计量被计算并呈现给具有类似情况的用户。在搜索细化中，类似的情况通过基于统计信息由用户确定的附加特征进行细化。搜索细化可以根据用户的需要进行迭代。

3. 发明申请

WO2008035286A2 ADVANCED COMPUTER-AIDED DIAGNOSIS OF LUNG NODULES 审中-公开
标题翻译：先进的计算机辅助诊断肺NODULES
公开(公告)号：WO2008035286A2
公开(公告)日：2008-03-27
申请号：PCT/IB2007/053776
申请日：2007-09-18
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , BOROCZKY, Lilla , AGNIHOTRI, Lalitha A. , ZHAO, Luyin , LEE, Michael C.C. , POWELL, Charles , BORCZUK, Alain , KAWUT, Steven
发明人： BOROCZKY, Lilla , AGNIHOTRI, Lalitha A. , ZHAO, Luyin , LEE, Michael C.C. , POWELL, Charles , BORCZUK, Alain , KAWUT, Steven
CPC分类号： G06T7/0012 , A61B6/5217 , A61B6/5223 , G06F19/00 , G06T7/48 , G06T2207/30061
摘要： Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer- aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.
摘要翻译：这里提供了用于诊断受试者中的疾病以及用于从多切片数据集中提取特征的决策支持的方法。提供了计算机辅助诊断系统。该系统将多个医疗数据作为输入，并基于该数据产生诊断结果作为输出。输入可以由图像数据和临床数据的组合组成。通过特征选择和使用一个或多个分类器算法来执行诊断。

4. 发明申请

WO2007144854A2 CLINICIAN-DRIVEN EXAMPLE-BASED COMPUTER-AIDED DIAGNOSIS 审中-公开
标题翻译：临床驱动的基于实例的计算机辅助诊断
公开(公告)号：WO2007144854A2
公开(公告)日：2007-12-21
申请号：PCT/IB2007/052307
申请日：2007-06-15
申请人： KONINKLIJKE PHILIPS ELECTRONICS, N.V. , AGNIHOTRI, Lalitha , BOROCZKY, Lilla , ZHAO, Luyin
发明人： AGNIHOTRI, Lalitha , BOROCZKY, Lilla , ZHAO, Luyin
CPC分类号： G16H50/20 , G06F19/00 , G06F19/321
摘要： Optimizing example-based computer-aided diagnosis (CADx) is accomplished by clustering volumes-of-interest (VOIs) (116) in a database (120) into respective clusters according to subjective assessment of similarity (S220). An optimal set of volume-of-interest (VOI) features is then selected for fetching examples such that objective assessment of similarity, based on the selected features, clusters, in a feature space, the database VOIs so as to conform to the subjectively -based clustering (S230). The fetched examples are displayed alongside the VOI to be diagnosed for comparison by the clinician. Preferably, the displayed example is user-selectable for further display of prognosis, therapy information, follow up information, current status, and/or clinical information retrieved from an electronic medical record (S260).
摘要翻译：基于实例的计算机辅助诊断（CADx）通过根据相似性的主观评估将数据库（120）中的感兴趣体积（VOI）（116）聚类成各自的簇来实现（S220）。然后选择最佳的感兴趣体积（VOI）特征来提取示例，使得基于特征空间的所选特征聚类的客观评估，数据库VOI以符合主观 - （S230）。所获取的示例显示在VOI旁边以被临床医生诊断以进行比较。优选地，所显示的示例是用户可选择的，用于进一步显示从电子医疗记录检索的预后，治疗信息，跟踪信息，当前状态和/或临床信息（S260）。

5. 发明申请

WO2008035276A2 METHODS FOR FEATURE SELECTION USING CLASSIFIER ENSEMBLE BASED GENETIC ALGORITHMS 审中-公开
标题翻译：使用基于分类器ENSEMBLE的遗传算法进行特征选择的方法
公开(公告)号：WO2008035276A2
公开(公告)日：2008-03-27
申请号：PCT/IB2007/053750
申请日：2007-09-17
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , ZHAO, Luyin , BOROCZKY, Lilla , AGNIHOTRI, Lalitha A. , LEE, Michael C.C.
发明人： ZHAO, Luyin , BOROCZKY, Lilla , AGNIHOTRI, Lalitha A. , LEE, Michael C.C.
IPC分类号： G06N3/12
CPC分类号： G06N3/126 , G06F19/00 , G06K9/6217 , G06K2209/053 , G16H50/20 , G16H50/30
摘要： Methods for performing genetic algorithm-based feature selection are provided herein. In certain embodiments, the methods include steps of applying multiple data splitting patterns to a learning data set to build multiple classifiers to obtain at least one classification result; integrating the at least one classification result from the multiple classifiers to obtain an integrated accuracy result; and outputting the integrated accuracy result to a genetic algorithm as a fitness value for a candidate feature subset, in which genetic algorithm-based feature selection is performed.
摘要翻译：本文提供了基于遗传算法的特征选择的方法。在某些实施例中，所述方法包括将多个数据分割模式应用于学习数据集以构建多个分类器以获得至少一个分类结果的步骤; 整合来自多个分类器的至少一个分类结果以获得综合精度结果; 并将所述综合精度结果输出到遗传算法作为候选特征子集的适应度值，其中执行基于遗传算法的特征选择。

6. 发明申请

WO2009083837A1 METHOD AND SYSTEM FOR CROSS-MODALITY CASE-BASED COMPUTER-AIDED DIAGNOSIS 审中-公开
标题翻译：基于案例的计算机辅助诊断方法与系统
公开(公告)号：WO2009083837A1
公开(公告)日：2009-07-09
申请号：PCT/IB2008/055184
申请日：2008-12-09
申请人： KONINKLIJKE PHILIPS ELECTRONICS, N.V. , AGNIHOTRI, Lalitha , BOROCZKY, Lilla , ZHAO, Luyin
发明人： AGNIHOTRI, Lalitha , BOROCZKY, Lilla , ZHAO, Luyin
IPC分类号： G06F19/00
CPC分类号： G06F19/321 , G06F19/00 , G16H50/20 , G16H50/70
摘要： A system and method for cross-modality case-based computer-aided diagnosis comprises storing a plurality of cases, each case including at least one image of one of a plurality of modalities and non-image information, mapping a feature relationship between a feature from images of a first modality to a feature from images of a second modality, and storing the relationship.
摘要翻译：一种用于交叉形式基于案例的计算机辅助诊断的系统和方法包括存储多个情况，每个情况包括多个模态和非图像信息中的一个的至少一个图像，其映射特征之间的特征关系从第二模态的图像到特征的第一模态的图像，以及存储该关系。

7. 发明申请

WO2010035163A1 METHOD FOR INCREASING THE ROBUSTNESS OF COMPUTER-AIDED DIAGNOSIS TO IMAGE PROCESSING UNCERTAINTIES 审中-公开
标题翻译：计算机辅助诊断图像处理不确定度的方法
公开(公告)号：WO2010035163A1
公开(公告)日：2010-04-01
申请号：PCT/IB2009/053952
申请日：2009-09-09
申请人： KONINKLIJKE PHILIPS ELECTRONICS, N.V. , LEE, Michael, Chun-chieh , BOROCZKY, Lilla
发明人： LEE, Michael, Chun-chieh , BOROCZKY, Lilla
IPC分类号： G06F19/00
CPC分类号： G06T7/0012 , G06F19/00 , G06K9/6228 , G06K9/6262 , G06K9/6292 , G06K2209/051 , G06T2207/10072 , G06T2207/20081 , G06T2207/20084 , G06T2207/30064 , G16H50/20
摘要： A classifier (20) is trained by a feature matrix (18, 18') made up of feature vectors (F1 1 ,..., Fk m ). The feature vectors are generated by operating on each of a plurality (k) of training image data sets with each of a plurality (m) of image processing algorithms (12 1 ,..., 12 m ) to generate processed and segmented images. Features of the segmented regions are extracted (14) to generate the feature vectors. In this manner, the classifier is trained with data generated with a variety of image processing algorithms.
摘要翻译：分类器（20）由由特征向量（F11，...，Fkm）构成的特征矩阵（18,18'）进行训练。通过利用多个（m）图像处理算法（121，...，12m）中的每一个对多个（k）个训练图像数据集中的每一个进行操作来生成特征向量，以生成经处理和分割的图像。提取分段区域的特征（14）以生成特征向量。以这种方式，通过用各种图像处理算法生成的数据对分类器进行训练。

8. 发明申请

WO2009136354A1 METHOD AND SYSTEM FOR PERSONALIZED GUIDELINE-BASED THERAPY AUGMENTED BY IMAGING INFORMATION 审中-公开
标题翻译：基于图像信息的个性化导向治疗方法与系统
公开(公告)号：WO2009136354A1
公开(公告)日：2009-11-12
申请号：PCT/IB2009/051822
申请日：2009-05-04
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH , TULIPANO, Paola, Karina , BOROCZKY, Lilla , LEE, Michael, Chun-chieh , VLOEMANS, Victor, Paulus, Marcellus , CARLSEN, Ingwer, Curt , OPFER, Roland , LAGOR, Charles
发明人： TULIPANO, Paola, Karina , BOROCZKY, Lilla , LEE, Michael, Chun-chieh , VLOEMANS, Victor, Paulus, Marcellus , CARLSEN, Ingwer, Curt , OPFER, Roland , LAGOR, Charles
IPC分类号： G06F19/00
CPC分类号： G06Q50/22 , G06F19/00 , G06F19/325 , G16H50/20 , G16H50/70
摘要： When treating a patient, clinical decision support system (CDSS) guidelines are employed to assist a physician in generating a treatment plan. These plans are generated using both imaging and non-imaging data. To accomplish this, the CDSS is interfaced with imaging systems (CADx, CAD, PACS etc.). A data-mining operation is performed to identify relevant patients with similar attributes such as diagnosis, medical history, treatment, etc from imaging and non-imaging data. Natural language processing is employed to extract and encode relevant non-imaging (textual) data from relevant patients' records. Additionally, an image of a current patient is compared to reference images in a patient database to identify relevant patients. Relevant patients are then identified to a user, and the user selects a relevant patient to view detailed information related to medical history, treatment, guidelines, efficacy, and the like.
摘要翻译：在治疗患者时，采用临床决策支持系统（CDSS）指南来协助医生生成治疗计划。这些计划是使用成像和非成像数据生成的。为了实现这一点，CDSS与成像系统（CADx，CAD，PACS等）接口。进行数据挖掘操作，以从成像和非成像数据中识别具有类似属性的相关患者，如诊断，病史，治疗等。采用自然语言处理技术从相关患者记录中提取和编码相关非成像（文本）数据。此外，将当前患者的图像与患者数据库中的参考图像进行比较以识别相关患者。然后将相关患者识别给用户，并且用户选择相关患者以查看与病史，治疗，指南，疗效等相关的详细信息。

9. 发明申请

WO2012080906A1 SYSTEM AND METHOD FOR CLINICAL DECISION SUPPORT FOR THERAPY PLANNING USING CASE-BASED REASONING 审中-公开
标题翻译：使用基于案例的理由进行治疗规划的临床决策支持系统和方法
公开(公告)号：WO2012080906A1
公开(公告)日：2012-06-21
申请号：PCT/IB2011/055514
申请日：2011-12-07
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , BOROCZKY, Lilla , SIMPSON, Mark R. , XU, Ye , LEE, Michael Chun-chieh
发明人： BOROCZKY, Lilla , SIMPSON, Mark R. , XU, Ye , LEE, Michael Chun-chieh
IPC分类号： G06F19/00
CPC分类号： G06F17/30943 , G06F19/00 , G16H50/70
摘要： A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a current patient set of data relating to a current patient; compare the current patient set of data to a plurality of previous patient sets of data, each of the previous patient sets of data corresponding to a previous patient; select one of the previous patient sets of data based on a level of similarity between the selected previous patient set of data and the current patient set of data; and provide the selected previous patient set of data to a user.
摘要翻译：一种非暂时的计算机可读存储介质，其存储可由处理器执行的一组指令。所述指令集合可操作以接收与当前患者有关的当前患者数据集合; 将当前患者的数据集合与多个先前的患者数据集进行比较，每个先前的患者数据组对应于先前患者; 基于所选择的先前患者数据集与当前患者数据集合之间的相似程度，选择先前的患者数据集之一; 并向用户提供所选择的先前患者数据集。

10. 发明申请

WO2010119356A3 CLINICAL DECISION SUPPORT SYSTEMS AND METHODS 审中-公开
公开(公告)号：WO2010119356A3
公开(公告)日：2010-10-21
申请号：PCT/IB2010/051013
申请日：2010-03-09
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH , BOROCZKY, Lilla , XU, Ye , DRYSDALE, Jeremy , LEE, Michael, Chun-chieh , ARBASH MEINEL, Lina , BUELOW, Thomas
发明人： BOROCZKY, Lilla , XU, Ye , DRYSDALE, Jeremy , LEE, Michael, Chun-chieh , ARBASH MEINEL, Lina , BUELOW, Thomas
IPC分类号： G06F19/00
摘要： A clinical decision support (CDS) system comprises: a case grouping sub-system (10) including a graphical user interface (30) that is operative to simultaneously display data representing a plurality of patient cases and further configured to enable a user to group selected patient cases represented by the simultaneously displayed data into clinically related groups (32) as selected by the user; a probative features determination sub-system (12) that is operative to determine probative features (44) that correlate with the clinically related groups; and a CDS user interface (16) that is operative to receive current patient data relating to a current patient case and to output clinical decision support information based on values of the probative features determined from the received current patient data.

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