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    • 7. 发明申请
    • CLINICAL DECISION SUPPORT SYSTEMS WITH EXTERNAL CONTEXT
    • 具有外部背景的临床决策支持系统
    • US20120066000A1
    • 2012-03-15
    • US13320700
    • 2010-04-09
    • Roland OpferIngwer C. CarlsenAutri DuttaP. Karina TulipanoVictor VloemansLilla BoroczkySteffen Renisch
    • Roland OpferIngwer C. CarlsenAutri DuttaP. Karina TulipanoVictor VloemansLilla BoroczkySteffen Renisch
    • G06Q50/24
    • G06F19/325G06Q50/24
    • A clinical decision support (CDS) system comprises a patient treatment histories database (10, 32) and a patient case navigation tool (10, 30) operative to select a patient treatment history from the patient treatment histories database and to display a flowchart representation (50) of at least a portion of the selected patient treatment history. Optionally, the navigation tool (10, 30) is further operative to selectively display a flowchart representation (64, 66) of a portion or all of a patient nonspecific treatment guideline not coinciding with the selected patient treatment history. Optionally, the CDS system further comprises a patient records query engine (10, 40) operative to receive a query and apply same against the patient treatment histories database to retrieve query results, the navigation tool (10, 30) being further operative to generate a query responsive to user input and to display query results retrieved for the query.
    • 临床决策支持(CDS)系统包括患者治疗历史数据库(10,32)和患者病例导航工具(10,30),其可操作以从患者治疗历史数据库中选择患者治疗历史并显示流程图表示( 50)所选择的患者治疗历史的至少一部分。 可选地,导航工具(10,30)还可操作以选择性地显示与所选择的患者治疗历史不一致的患者非特异性治疗指南的一部分或全部的流程图表示(64,66)。 可选地,CDS系统还包括患者记录查询引擎(10,40),其可操作以接收查询并将其应用于患者治疗历史数据库以检索查询结果,导航工具(10,30)进一步操作以产生 查询响应用户输入并显示为查询检索的查询结果。
    • 8. 发明授权
    • Anatomy modeling for tumor region of interest definition
    • 肿瘤区域的解剖建模定义
    • US08467856B2
    • 2013-06-18
    • US13384342
    • 2010-06-15
    • Steffen RenischRoland Opfer
    • Steffen RenischRoland Opfer
    • A61B5/05
    • A61B6/5217A61B6/032A61B6/037A61B6/5247G06T7/0014G06T7/11G06T7/155G06T2207/10081G06T2207/10088G06T2207/10104G06T2207/10108G06T2207/20152G06T2207/20221G06T2207/30096
    • A hot spot detection system for automatically segmenting and quantifying hot spots in functional images includes a segmentation unit (76) to segment an anatomical image representation (72) into regions corresponding to anatomical structures of a subject. A hot spot detection unit (90) detects regions of high uptake from a functional second image representation (74). The regions of high tracer uptake indicate high metabolic activity which maybe caused by potentially hazardous tumor lesions or other malignant processes. However, a number of normally functioning organs uptake high amounts of imaging tracer, particularly FDG. Therefore, a suppression unit (102) suppresses regions of high tracer uptake in the functional second image representation based on the results of a classification unit (101). The classification unit classifies the regions of high tracer uptake according to their position relative to the anatomical structures segmented from the anatomical first image representation. The remaining un-suppressed regions of high uptake are identified by an identification unit (106) as one of potential lesion and non-potential lesion.
    • 用于在功能图像中自动分割和量化热点的热点检测系统包括将解剖图像表示(72)分割成对应于对象的解剖结构的区域的分割单元(76)。 热点检测单元(90)从功能性第二图像表示(74)检测高摄取区域。 高示踪剂摄取的区域表明可能由潜在的危险的肿瘤病变或其他恶性过程引起的高代谢活性。 然而,许多正常功能的器官摄取大量成像示踪剂,特别是FDG。 因此,抑制单元(102)基于分类单元(101)的结果来抑制功能性第二图像表示中的高示踪剂摄取区域。 分类单元根据其相对于从解剖学第一图像表示分割的解剖结构的位置对高示踪剂摄取的区域进行分类。 剩余的非摄取的非抑制区域由识别单元(106)识别为潜在的病变和非潜在病变之一。
    • 9. 发明申请
    • ANATOMY MODELING FOR TUMOR REGION OF INTEREST DEFINITION
    • 有关定义肿瘤区域的解剖学建模
    • US20120123253A1
    • 2012-05-17
    • US13384342
    • 2010-06-15
    • Steffen RenischRoland Opfer
    • Steffen RenischRoland Opfer
    • A61B6/00
    • A61B6/5217A61B6/032A61B6/037A61B6/5247G06T7/0014G06T7/11G06T7/155G06T2207/10081G06T2207/10088G06T2207/10104G06T2207/10108G06T2207/20152G06T2207/20221G06T2207/30096
    • A hot spot detection system for automatically segmenting and quantifying hot spots in functional images includes a segmentation unit (76) to segment an anatomical image representation (72) into regions corresponding to anatomical structures of a subject. A hot spot detection unit (90) detects regions of high uptake from a functional second image representation (74). The regions of high tracer uptake indicate high metabolic activity which maybe caused by potentially hazardous tumor lesions or other malignant processes. However, a number of normally functioning organs uptake high amounts of imaging tracer, particularly FDG. Therefore, a suppression unit (102) suppresses regions of high tracer uptake in the functional second image representation based on the results of a classification unit (101). The classification unit classifies the regions of high tracer uptake according to their position relative to the anatomical structures segmented from the anatomical first image representation. The remaining un-suppressed regions of high uptake are identified by an identification unit (106) as one of potential lesion and non-potential lesion.
    • 用于在功能图像中自动分割和量化热点的热点检测系统包括将解剖图像表示(72)分割成对应于对象的解剖结构的区域的分割单元(76)。 热点检测单元(90)从功能性第二图像表示(74)检测高摄取区域。 高示踪剂摄取的区域表明可能由潜在的危险的肿瘤病变或其他恶性过程引起的高代谢活性。 然而,许多正常功能的器官摄取大量成像示踪剂,特别是FDG。 因此,抑制单元(102)基于分类单元(101)的结果来抑制功能性第二图像表示中的高示踪剂摄取区域。 分类单元根据其相对于从解剖学第一图像表示分割的解剖结构的位置对高示踪剂摄取的区域进行分类。 剩余的非摄取的非抑制区域由识别单元(106)识别为潜在的病变和非潜在病变之一。