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1. 发明公开

EP4248450A1 WORKLIST PRIORITIZATION USING NON-PATIENT DATA FOR URGENCY ESTIMATION 审中-实审
公开(公告)号：EP4248450A1
公开(公告)日：2023-09-27
申请号：EP21810347.1
申请日：2021-11-11
申请人： Koninklijke Philips N.V.
发明人： SCHADEWALDT, Nicole , WEESE, Rolf Jürgen , LENGA, Matthias , SAALBACH, Axel , RENISCH, Steffen , SCHULZ, Heinrich
IPC分类号： G16H10/40 , G16H40/20

2. 发明公开

EP4208875A1 AUTOMATIC MALPOSITION DETECTION OF MEDICAL DEVICES IN MEDICAL IMAGES 审中-实审
公开(公告)号：EP4208875A1
公开(公告)日：2023-07-12
申请号：EP21770156.4
申请日：2021-08-26
申请人： Koninklijke Philips N.V.
发明人： SAALBACH, Axel , SIRAZITDINOV, Ilyas , STEINMEISTER, Leonhard , ITTRICH, Harald , LENGA, Matthias , BALTRUSCHAT, Ivo, Matteo , GRASS, Michael
IPC分类号： G16H30/40

3. 发明公开

EP4159129A1 MEDICAL IMAGING AND ANALYSIS METHOD 无效
公开(公告)号：EP4159129A1
公开(公告)日：2023-04-05
申请号：EP21200513.6
申请日：2021-10-01
申请人： Koninklijke Philips N.V.
发明人： DESHPANDE, Hrishikesh Narayanrao , BUELOW, Thomas , SAALBACH, Axel , HARDER, Tim Philipp , GOTMAN, Shlomo , COETSER, Edna
IPC分类号： A61B6/00 , G01R33/54
摘要： A method is provided for analyzing survey imaging data. The method comprises acquiring first image data with a first imaging protocol covering a first FOV, processing the data with an anatomical analysis program or routine to detect at least a portion of a target anatomy, and performing a coverage check adapted to determine whether the target anatomy is fully covered within the first FOV. Second image data is subsequently acquired in accordance with a second imaging protocol defining a second FOV. The second imaging protocol may be: the same as the first, but wherein the results of the coverage check are stored and linked with the second image data for later use; different to the first and wherein the results of the coverage check are output to a user interface and a user input responsive thereto is used to determine the second scan protocol; or different to the first, but wherein an adjusted second scan protocol is automatically determined.

4. 发明公开

EP4083650A1 CONTROLLING A SCANNING OPERATION OF A MEDICAL IMAGING DEVICE 无效
公开(公告)号：EP4083650A1
公开(公告)日：2022-11-02
申请号：EP21170410.1
申请日：2021-04-26
申请人： Koninklijke Philips N.V.
发明人： DEGERHOLM, Markku Aleksanteri , GROTH, Alexandra , SOMMER, Karsten , SUSI, Tuomas , WEESE, Rolf Jürgen , WAECHTER-STEHLE, Irina , SAALBACH, Axel
IPC分类号： G01R33/48 , A61B6/00 , A61B8/08 , G06T7/00
摘要： An approach for adapting the scanning operation of a medical imaging device so that anatomical areas of interest are scanned with a higher image quality than other anatomical regions. Initial image data is processed to identify relevant anatomical areas or regions, by identifying a likelihood that these areas contain a pathological condition/symptom. The scanning operation is controlled based on the identified areas or regions.

5. 发明公开

EP3762936A1 DISPLAY OF MEDICAL IMAGE DATA 审中-公开
公开(公告)号：EP3762936A1
公开(公告)日：2021-01-13
申请号：EP19708046.8
申请日：2019-02-25
申请人： Koninklijke Philips N.V.
发明人： GROTH, Alexandra , SAALBACH, Axel , WEESE, Rolf, Jürgen
IPC分类号： G16H30/40 , G16H15/00

6. 发明公开

EP3503022A1 SYSTEM FOR ASSESSING A PULMONARY IMAGE 审中-公开
公开(公告)号：EP3503022A1
公开(公告)日：2019-06-26
申请号：EP17208950.0
申请日：2017-12-20
申请人： Koninklijke Philips N.V.
发明人： WIEMKER, Rafael , NORDHOFF, Tanja , BUELOW, Thomas , SAALBACH, Axel , KLINDER, Tobias , BROSCH, Tom , HARDER, Tim Philipp , SOMMER, Karsten
IPC分类号： G06T7/00 , A61B6/00 , A61B6/03
摘要： The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images (20, 21, 22) with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules.

7. 发明公开

EP3494544A1 ROBUST PULMONARY LOBE SEGMENTATION 有权转让
公开(公告)号：EP3494544A1
公开(公告)日：2019-06-12
申请号：EP17742759.8
申请日：2017-07-26
申请人： Koninklijke Philips N.V.
发明人： WIEMKER, Rafael , KLINDER, Tobias , SCHMIDT-RICHBERG, Alexander , SAALBACH, Axel , WAECHTER-STEHLE, Irina , HARDER, Tim, Philipp , VON BERG, Jens
IPC分类号： G06T7/12 , G06T7/149
摘要： An image processing system and related method. The system comprises an input interface (IN) configured for receiving an n[≥2]-dimensional input image with a set of anchor points defined in same, said set of anchor points forming an input constellation. A constellation modifier (CM) is configured to modify said input constellation into a modified constellation. A constellation evaluator (CE) configured to evaluate said input constellation based on said hyper-surface to produce a score. A comparator (COMP) is configured to compare said score against a quality criterion. Through an output interface (OUT) said constellation is output if the score meets said criterion. The constellation suitable to define a segmentation for said input image.

8. 发明公开

EP3215968A1 OPTIMIZED ANATOMICAL STRUCTURE OF INTEREST LABELLING 有权转让
标题翻译：感兴趣标记的优化解剖结构
公开(公告)号：EP3215968A1
公开(公告)日：2017-09-13
申请号：EP15794642.7
申请日：2015-10-22
申请人： Koninklijke Philips N.V.
发明人： LU, Kongkuo , GROTH, Alexandra , QIAN, Yuechen , SAALBACH, Axel , TELLIS, Ranjith Naveen , BYSTROV, Daniel , COHEN, Ran , FADIDA, Bela , WOLLOCH, Lior
IPC分类号： G06F19/00
CPC分类号： G06F19/321 , G06F17/2785 , G06F17/30268 , G06F19/00 , G06K9/4676 , G06K9/66
摘要： The present application describes a system (100) and method for detecting and labeling structures of interest. The system includes a current patient study database (102) containing a current patient study (200) with clinical contextual information (706). The system also includes an image metadata processing engine (118) configured to extract metadata for preparing an input for an anatomical structure classifier (608), a natural language processing engine (120) configured to extract clinical context information (706) from the prior patient documents, an anatomical structure detection and labeling engine (718), and a display device (108) configured to display findings from the current patient study. The anatomical structure detection and labeling engine (718) is configured to identify and label one or more structures of interest (716) from the extracted metadata and clinical context information (706). The processor (112) is also configured to aggregate series level data. The method detects, label and prioritize anatomical structures (710). Specifically, once patient information is received from the current patient study (108), the labeled anatomical structures (710) and the high risk anatomical structures (714) are combined to form an optimized prioritized list of structures of interest (716).
摘要翻译：本申请描述了用于检测和标记感兴趣的结构的系统（100）和方法。该系统包括包含具有临床背景信息（706）的当前患者研究（200）的当前患者研究数据库（102）。该系统还包括被配置为提取用于为解剖结构分类器（608）准备输入的元数据的图像元数据处理引擎（118），被配置为从先前患者提取临床背景信息（706）的自然语言处理引擎（120）文件，解剖结构检测和标记引擎（718）以及配置成显示来自当前患者研究的结果的显示设备（108）。解剖结构检测和标记引擎（718）被配置为从提取的元数据和临床情境信息（706）中识别并标记一个或多个感兴趣结构（716）。处理器（112）还被配置为聚集系列级数据。该方法检测，标记和优先解剖结构（710）。具体地说，一旦从当前患者研究（108）接收到患者信息，组合标记解剖结构（710）和高风险解剖结构（714）以形成感兴趣结构的优化优先列表（716）。

9. 发明公开

EP4163836A1 UNCERTAINTY-BASED IN-PRODUCT LEARNING FOR X-RAY 无效
公开(公告)号：EP4163836A1
公开(公告)日：2023-04-12
申请号：EP21200958.3
申请日：2021-10-05
申请人： Koninklijke Philips N.V.
发明人： MAVROEIDIS, Dimitrios , VDOVJAK, Richard , SAALBACH, Axel , LENGA, Matthias
IPC分类号： G06N3/08 , G06N3/04 , G06N5/00 , G06N7/00 , G06N20/10 , G06N20/20
摘要： A system (SYS)and related method for providing training data. The system is configured to receive a classification result for a class from plural pre-defined classes (Cj). The classification result is produced by a trained machine learning model (M) in response to processing an input image. A decision logic (DL) of the system is configured to analyze input data ( pi,qi ) comprising the received classification result value (pi) and an uncertainty value (qi) associated with the classification result value,. The system outputs, per class, an associated indication whether the input image is or is not useful for re-training the model (M) in respect of the said class.

10. 发明公开

EP4118659A1 RADIOLOGIST FINGERPRINTING 审中-实审
公开(公告)号：EP4118659A1
公开(公告)日：2023-01-18
申请号：EP21710425.6
申请日：2021-03-04
申请人： Koninklijke Philips N.V.
发明人： KLINDER, Tobias , WANG, Xin , NORDHOFF, Tanja , QIAN, Yuechen , HOMBAL, Vadiraj, Krishnamurthy , RUBENS, Eran , DALAL, Sandeep, Madhukar , SAALBACH, Axel , WIEMKER, Rafael
IPC分类号： G16H15/00 , G16H30/40 , G16H40/20 , G16H50/20

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