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公开(公告)号：US20160012586A1
公开(公告)日：2016-01-14
申请号：US14768236
申请日：2014-02-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Julien SENEGAS , Axel SAALBACH , Martin BERGTHOLDT , Thomas NETSCH , Peter MAZURKEWITZ
CPC classification number: G06T7/0014 , G06K9/6269 , G06T7/74 , G06T2207/10081 , G06T2207/10104
Abstract: The invention relates to a scan region determining apparatus (12) for determining a scan region of a subject to be scanned by a scanning system (10) like a computed tomography system. A spatial transformation defining a registration of an overview image and a template image with respect to each other is determined, wherein initially the overview image and the template image are registered by using an element position indicator being indicative of a position of an element of the subject with respect to the overview image. A template scan region is defined with respect to the template image, wherein a final scan region is determined by projecting the template scan region onto the overview image by using the determined spatial transformation. The registration and thus the determination of the spatial transformation are very robust, which improves the quality of determining the final scan region.
Abstract translation: 本发明涉及一种扫描区域确定装置（12），用于通过像计算机断层摄影系统的扫描系统（10）确定要扫描的对象的扫描区域。 确定定义相对于彼此的概览图像和模板图像的登记的空间变换，其中，首先通过使用指示对象的元素的位置的元素位置指示符来登记概览图像和模板图像 相对于概览图像。 相对于模板图像定义模板扫描区域，其中通过使用确定的空间变换将模板扫描区域投影到概览图像上来确定最终扫描区域。 空间转换的注册和确定非常强大，这提高了确定最终扫描区域的质量。
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公开(公告)号：US20230118299A1
公开(公告)日：2023-04-20
申请号：US17909454
申请日：2021-03-04
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Tobias KLINDER , Xin WANG , Tanja NORDHOFF , Yuechen QIAN , Vadiraj krishnamurthy HOMBAL , Eran RUBENS , Sandeep Madhukar DALAL , Axel SAALBACH , Rafael WIEMKER
Abstract: An apparatus (10) for assessing radiologist performance includes at least one electronic processor (20) programmed to: during reading sessions in which a user is logged into a user interface (UI) (27), present (98) medical imaging examinations (31) via the UI, receive examination reports on the presented medical imaging examinations via the UI, and file the examination reports; and perform a tracking method (102, 202) including at least one of: (i) computing (204) concurrence scores (34) quantifying concurrence between clinical findings contained in the examination reports and corresponding computer-generated clinical findings for the presented medical imaging examinations which are generated by a computer aided diagnostic (CAD) process miming as a background process during the reading sessions; and/or (ii) determining (208) reading times (38) for the presented medical imaging examinations wherein the reading time for each presented medical imaging examination is the time interval between a start of the presenting of the medical imaging examination via the user interface and the filing of the corresponding examination report; and generating (104) at least one time-dependent user performance metric (36) for the user based on the computed concurrence scores and/or the determined reading times.
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Patent Agency Ranking
公开(公告)号：US20230077721A1
公开(公告)日：2023-03-16
申请号：US17795060
申请日：2021-01-27
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Axel SAALBACH , Dimitrios MAVROEIDIS , Hannes NICKISCH
Abstract: A system and method for prioritizing a set of medical images to be evaluated using a machine learning model, including: training the machine learning model using a training data set, wherein the machine learning model receives input medical images and outputs a medical condition shown in the input medical images; running the trained machine learning model on the set of medical images to be evaluated to produce a medical condition output for each of the set of medical images; calculating a likelihood score for each medical condition outputs based upon a determined statistical parameters for the different outputs of the machine learning model; and determining the order of the set of input images to be evaluated based upon the calculated likelihood score and a severity of the medical condition outputs.
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公开(公告)号：US20210134465A1
公开(公告)日：2021-05-06
申请号：US17074669
申请日：2020-10-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： André GOOßEN , Axel SAALBACH , Rafael WIEMKER , Tim Philipp HARDER , Tom BROSCH , Hrishikesh Narayanrao DESHPANDE
Abstract: A system for reviewing a prior medical image and a related prior medical report, including: a plurality of measurement tools configured to: receive an input medical image and information regarding a medical finding; analyze the input medical image to determine a measurement relating to the medical finding; and output the measurement relating to the medical finding; a report analyzer configured to: receive the prior medical report; analyze the prior medical report to extract first information regarding a first medical finding described in the medical report; select a first measurement tool of the plurality of measurement tools to analyze the prior medical image based upon the first extracted information; and output the first extracted information to the first measurement tool, wherein the first measurement tool analyzes the prior medical image to produce a first updated measurement of the first medical finding and the first measurement tool analyzes a new medical image associated with the prior medical image to produce a new first measurement of the first medical finding; a report generator configured to receive the new first measurement and to produce a new report based upon the new first measurement.
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公开(公告)号：US20210065361A1
公开(公告)日：2021-03-04
申请号：US16644037
申请日：2018-09-04
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Rafael WIEMKER , Axel SAALBACH , Jens VON BERG , Tom BROSCH , Tim Philipp HARDER , Fabian WENZEL , Christopher Stephen HALL
Abstract: There is provided a computer-implemented method and system (100) for determining regions of hyperdense lung parenchyma in an image of a lung. The system (100) comprises a memory (106) comprising instruction data representing a set of instructions and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor (102), cause the processor (102) to locate a vessel in the image, determine a density of lung parenchyma in a region of the image that neighbours the located vessel, and determine whether the region of the image comprises hyperdense lung parenchyma based on the determined density, hyperdense lung parenchyma having a density greater than −800 HU.
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公开(公告)号：US20240420461A1
公开(公告)日：2024-12-19
申请号：US18703735
申请日：2022-09-28
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Axel SAALBACH , Nicole SCHADEWALDT , Steffen RENISCH , Heinrich SCHULZ , Matthias LENGA
Abstract: A mechanism for providing additional information about a medical image analysis process. A neural network is used to process a medical image, and non-image data elements, to generate an output. An influence of different regions of the medical image and of the non-image data elements to an output of the neural network or intermediate layer output (of the neural network) is determined.
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公开(公告)号：US20150139520A1
公开(公告)日：2015-05-21
申请号：US14600030
申请日：2015-01-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Julien SENEGAS , Axel SAALBACH , Martin BERGTHOLDT , Thomas NETSCH , Peter MAZURKEWITZ
IPC: G06T7/00
CPC classification number: G06T7/0014 , G06K9/6269 , G06T7/74 , G06T2207/10081 , G06T2207/10104
Abstract: A method includes displaying an iconic image of the human body and a list of predetermined anatomical regions. The method further includes displaying, in response to a user selected anatomical region, a scan box over a sub-portion of the iconic image. The method further includes receiving an input indicative of at least one of a scan box location of interest or a scan box geometry of interest, with respect to the anatomical region, of the first user. The method further includes at least one of re-locating or changing a geometry of the first initial scan box, in response thereto, creating a first user defined scan box for the first user. The method further includes creating a first transformation between a first template image representative of the selected anatomical region and the iconic image with the first user defined scan box for the first user, and storing the first transformation.
Abstract translation: 一种方法包括显示人体的标志性图像和预定解剖区域的列表。 该方法还包括响应于用户选择的解剖区域显示在标志性图像的子部分上方的扫描盒。 该方法还包括接收指示相关于第一用户的解剖区域的感兴趣的扫描盒位置或感兴趣的扫描盒几何图形中的至少一个的输入。 该方法还包括重新定位或改变第一初始扫描盒的几何形状中的至少一个，响应于此，为第一用户创建第一用户定义的扫描盒。 该方法还包括在代表所选择的解剖区域的第一模板图像与标示图像之间创建用于第一用户的第一用户定义的扫描盒的第一变换，以及存储第一变换。
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