公开(公告)号：US20200279640A1

公开(公告)日：2020-09-03

申请号：US16649698

申请日：2018-09-25

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Thomas Erik AMTHOR ,  Tanja NORDHOFF ,  Joachim SCHMIDT ,  Joern BORGERT ,  Ingmar GRAESSLIN

IPC: G16H40/20 ,  G16H30/20 ,  G16H40/67 ,  G16H70/20 ,  G06Q10/06 ,  A61B5/055 ,  A61B5/00 ,  A61B6/03 ,  A61B6/00 ,  A61B8/00

Abstract: An imaging system (10) includes: an image acquisition device (12), a device controller (16) comprising an electronic processor (20) programmed to operate the image acquisition device to acquire medical images of a patient and to maintain a machine log (26) storing an operating history of the image acquisition device; a server computer (34) programmed to retrieve patient information from at least one health information system (HIS) (18); and at least one feedback device (50, 52). The device controller, the server computer, or a combination of the device controller and server computer is programmed to implement at least one state machine (30, 44) having a plurality of states defined by values of state variables wherein the states represent respective attainable states of an image acquisition procedure (100) and the image acquisition device. The at least one state machine is configured to transition between states during the image acquisition procedure whereby the at least one state machine represents a current state of the image acquisition procedure and the image acquisition device, wherein the values of the state variables of the at least one state machine are determined based at least on content of the machine log for the image acquisition device and patient information retrieved by the server computer from the at least one HIS. The at least one feedback device is configured to provide guidance to an operator for performing the image acquisition procedure based on a current state of the at least one state machine.

公开(公告)号：US20250005522A1

公开(公告)日：2025-01-02

申请号：US18709538

申请日：2022-11-21

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Artur SOSSIN ,  Ingmar GRAESSLIN

IPC: G06Q10/10 ,  G06F11/07

Abstract: A non-transitory computer readable medium (107, 127) stores instructions executable by at least one electronic processor (101, 113) to perform a service work order (SWO) method (200). The method includes via a user interface (UI) (140), receiving entry of a SWO report (136); applying at least one automated analysis to the SWO report to detect information missing from the SWO report and/or to generate a completeness score (138) for the SWO report; via the UI, providing an indication (142) of the information missing from the SWO report and/or the completeness score for the SWO report; and storing the SWO report in a SWO database (111).

公开(公告)号：US20220237787A1

公开(公告)日：2022-07-28

申请号：US17621718

申请日：2020-06-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Arne EWALD ,  Rudolf Mathias Johannes Nicolaas LAMERICHS ,  Nick FLASCHNER ,  Bernhard GLEICH ,  Peter BOERNERT ,  Ingmar GRAESSLIN ,  Johannes Adrianus OVERWEG

IPC: G06T7/00 ,  G06N3/08

Abstract: The present disclosure relates to a medical imaging method, comprising: receiving (201) a set of subject parameters descriptive of a subject; in response to inputting (203) the set of subject parameters into a trained deep neural network, DNN, receiving (205) from the trained DNN a predicted task; presenting the task to the subject; controlling (207) an MRI system (700) for acquiring fMRI data from the subject in response to the predicted task performed by the subject during the acquisition

公开(公告)号：US20250029716A1

公开(公告)日：2025-01-23

申请号：US18711155

申请日：2022-11-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Artur SOSSIN ,  Ingmar GRAESSLIN

IPC: G16H40/40

Abstract: A non-transitory computer readable medium (26s) stores instructions executable by at least one electronic processor (14s) to perform a method (100) of monitoring a quality assurance (QA) procedure performed using a medical device (2). The method includes receiving a signal indicating a start of the QA procedure; analyzing video (17) of the medical device acquired after receiving the signal to detect one or more errors during the QA procedure; and providing a remedial action addressing the detected one or more errors.

公开(公告)号：US20250024577A1

公开(公告)日：2025-01-16

申请号：US18706793

申请日：2022-10-27

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Johannes Henricus Maria KORST ,  Artur SOSSIN ,  Ingmar GRAESSLIN ,  Serverius Petrus Paulus PRONK ,  Tiblets Zeray DEMEWEZ ,  Hans Peter SPRONG ,  Mauro BARBIERI

IPC: H05G1/54 ,  A61B6/58 ,  G16H40/40

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a method (100) of monitoring a component (10) of a medical device (1). The method includes retrieving information about a correction factor (40) applied during operation of the component from the medical device; deriving a wear metric indicative of wear of a portion of the component from the retrieved information about the correction factor applied during the operation of the component; estimating a time remaining until end-of-life (EOL) of the component; and outputting an alert (30) indicating estimated time remaining until EOL of the component.

公开(公告)号：US20220028133A1

公开(公告)日：2022-01-27

申请号：US17299804

申请日：2019-11-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Arne EWALD ,  Nick FLAESCHNER ,  Bernhard GLEICH ,  Ingmar GRAESSLIN ,  Peter BOERNERT ,  Ingo SCHMALE ,  Johannes Adrianus OVERWEG

IPC: G06T11/00 ,  G01R33/56 ,  G06N3/04 ,  G01R33/48 ,  G01R33/565

Abstract: The invention provides for a medical imaging system (100, 400) comprising a memory (110) storing machine executable instructions (120) and a configured artificial neural network (122). The medical imaging system further comprises a processor (104) configured for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to receive (200) magnetic resonance imaging data (124), wherein the magnetic resonance imaging data is BOLD functional magnetic resonance imaging data descriptive of a time dependent BOLD signal (1100) for each of a set of voxels. Execution of the machine executable instructions further causes the processor to construct (202) a set of initial signals (126) by reconstructing the time dependent BOLD signal for each of the set of voxels using the magnetic resonance imaging data. Execution of the machine executable instructions further causes the processor to receive (204) a set of modified signals (128) in response to inputting the set of initial signals into the configured artificial neural network. The configured artificial neural network is configured for removing physiological artifacts from the set of initial signals.