公开(公告)号：US11373304B2

公开(公告)日：2022-06-28

申请号：US16962545

申请日：2019-01-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Ulrich Katscher ,  Karsten Sommer ,  Axel Saalbach

IPC: G06K9/00 ,  G06T7/00 ,  G16H10/60 ,  G06V20/69

Abstract: The present disclosure relates to a computer implemented medical analysis method for predicting metastases (300) in a test tissue sample, the method comprising: providing a first machine learning model (154) having an input and an output, receiving a description (401) of a tumor (304) and first image data (148) of a test tissue sample of an anatomy region (306), the test tissue sample being free of metastases (300), providing the first image data (148) and the tumor description (401) to the input of the first machine learning model (154), in response to the providing, receiving from the output of the first machine learning model (154) a prediction of occurrence of metastases (300) originating from the tumor (304) in the test tissue sample, and providing the prediction.

公开(公告)号：US11333732B2

公开(公告)日：2022-05-17

申请号：US17047749

申请日：2019-04-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Karsten Sommer ,  Axel Saalbach ,  Michael Gunter Helle ,  Steffen Weiss ,  Christophe Michael Jean Schulke

IPC: G01V3/00 ,  G01R33/54 ,  A61B5/055 ,  G01R33/56 ,  G01R33/565 ,  A61B5/00

Abstract: The invention provides for a magnetic resonance imaging system (100, 300). The execution of machine executable instructions causes a processor (130) controlling the magnetic resonance imaging system to control (200) the magnetic resonance imaging system to acquire the magnetic resonance imaging data (144) using pulse sequence commands (142) and reconstruct (202) a magnetic resonance image (148). Execution of the machine executable instructions causes the processor to receive (204) a list of suggested pulse sequence command changes (152) by inputting the magnetic resonance image and image metadata (150) into an MRI artifact detection module (146, 146′, 146″). The MRI artifact detection module comprises at least one neural network, which has been trained using images from failed magnetic resonance imaging protocols and/or magnetic resonance data extracted from the magnetic resonance imaging protocols labeled as failed accessed from a log file (312) which logs the execution of previous magnetic resonance imaging protocols. Execution of the machine executable instructions further causes the processor to receive (206) a selection of a chosen pulse sequence command change (158) from the list of suggested pulse sequence command changes. Execution of the machine executable instructions further causes the processor to modify (208) the pulse sequence commands using the chosen pulse sequence command change.

公开(公告)号：US20200058389A1

公开(公告)日：2020-02-20

申请号：US16344428

申请日：2017-11-07

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Axel Saalbach ,  Julien Senegas ,  Alexandra Groth ,  Sascha Andreas Jockel ,  Martin Bergtholdt

IPC: G16H30/40 ,  G06N3/04 ,  G06N3/08 ,  G16H10/60 ,  G06T7/80 ,  A61B5/00 ,  A61B5/055 ,  A61B6/06 ,  A61B6/00 ,  A61B6/03

Abstract: A system and method are provided for selecting an acquisition parameter for an imaging system. The acquisition parameter at least in part defines an imaging configuration of the imaging system during an imaging procedure with a patient. A depth-related map is accessed which is generated on the basis of sensor data from a camera system, wherein the camera system has a field of view which includes at least part of a field of view of the imaging system, wherein the sensor data is obtained before the imaging procedure with the patient and indicative of a distance that parts of the patient's exterior have towards the camera system. A machine learning algorithm is applied to the depth-related map to identify the acquisition parameter, which may be provided to the imaging system.

公开(公告)号：US10146403B2

公开(公告)日：2018-12-04

申请号：US14345023

申请日：2012-09-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Juergen Weese ,  Irina Wächter-Stehle ,  Axel Saalbach

IPC: G16H40/63 ,  G06F3/0482 ,  G06F19/00 ,  G06F3/0484 ,  G06T7/00

Abstract: System (100) for enabling an interactive inspection of a region of interest (122) in a medical image (102), the system comprising display means (160) for displaying user interface elements (310, 320, 330) of actions associated with the interactive inspection of the region of interest and a processor (180) for executing one of the actions when a user selects an associated one of the user interface elements, the system further comprising establishing means (120) for establishing the region of interest in the medical image, determining means (140) for determining an anatomical property (142) of the region of interest in dependence on an image property of the region of interest, and the display means (160) being arranged for (i), in dependence on the anatomical property, establishing a display configuration (162) of the user interface elements, and (ii) displaying the user interface elements in accordance with the display configuration.

公开(公告)号：US10133348B2

公开(公告)日：2018-11-20

申请号：US15518820

申请日：2015-10-10

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Kongkuo Lu ,  Eric Cohen-Solal ,  Yuechen Qian ,  Gabriel Ryan Mankovich ,  Axel Saalbach ,  Daniel Bystrov

IPC: G06K9/00 ,  G06F3/01 ,  G06K9/32 ,  G06F3/0484 ,  G06T7/11

Abstract: A region of interest segmentation system includes a display device, a gaze-tracking device, a gaze point collector, a boundary identifier, and a region identifier. The display device displays an image. The gaze-tracking device, generates gaze points relative to the displayed image. The gaze point collector selects gaze points from the generated gaze points corresponding to a region of interest of the displayed image. the boundary identifier estimates a boundary based on the selected gaze points. The region identifier segments the region of interest based on the estimated boundary.

公开(公告)号：US09953429B2

公开(公告)日：2018-04-24

申请号：US15101018

申请日：2014-12-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Sabine Mollus ,  Axel Saalbach ,  Juergen Weese

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/33 ,  G06T7/149 ,  G06F19/00

CPC classification number: G06T7/149 ,  G06F19/321 ,  G06T7/344 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20124 ,  G06T2207/20132 ,  G06T2207/30048 ,  G06T2210/41 ,  G16H30/40

Abstract: A system and method is provided which obtains different medical images (210) showing an anatomical structure of a patient and having been acquired by different medical imaging modalities and/or different medical imaging protocols. The system is configured for fitting a first deformable model to the anatomical structure in the first medical image (220A), fitting a second deformable model to the anatomical structure in the second medical image (220B), mutually aligning the first fitted model and the second fitted model (230), and subsequently fusing the first fitted model and the second fitted model to obtain a fused model (240) by augmenting the first fitted model with a part of the second fitted model which is missing in the first fitted model; or adjusting or replacing a part of the first fitted model based on a corresponding part of the second fitted model having obtained a better fit. The fused model represents a multimodal/multi-protocol segmentation of the anatomical structure, and provides a user with a more comprehensive understanding of the anatomical structure than known models.

公开(公告)号：US09684961B2

公开(公告)日：2017-06-20

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

IPC: G06T7/00 ,  G06K9/62 ,  G06T7/73

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.

公开(公告)号：US20150006574A1

公开(公告)日：2015-01-01

申请号：US14374990

申请日：2013-01-14

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Axel Saalbach ,  Julien Senegas ,  Michael Chun-chieh Lee

IPC: G06F17/30 ,  G06T7/00

CPC classification number: G06F16/532 ,  G06F19/321 ,  G06T7/0016 ,  G06T2207/30004

Abstract: Medical selection system 100 for generating selection data, the medical selection system comprising user input 110 for enabling a user to establish a selection of one or more medical images amongst a plurality of medical images 182 for establishing the one or more medical images as baseline images for use in a follow-up examination of a patient; a processor 120 for (i) generating selection data 132 being indicative of said selection, and (ii) including selection metadata in the selection data for enabling associating the selection data with the plurality of medical images; and an output 130 for providing the selection data to a medical processing system 150 for enabling the medical processing system to select, based on the selection data, the one or more medical images amongst the plurality of medical images for use as the baseline images in the follow-up examination of the patient.

Abstract translation: 用于产生选择数据的医疗选择系统100，医疗选择系统包括用户输入110，用于使用户能够建立多个医学图像182中的一个或多个医学图像的选择，用于建立一个或多个医学图像作为基线图像 用于对患者的后续检查; 处理器120，用于（i）产生指示所述选择的选择数据132，以及（ii）在选择数据中包括选择元数据，用于使选择数据与多个医学图像相关联; 以及用于将选择数据提供给医疗处理系统150的输出端130，用于使得医疗处理系统能够基于选择数据来选择多个医学图像中的一个或多个医学图像，以用作在该图像中的基线图像 对患者进行后续检查。