公开(公告)号：US20200011945A1

公开(公告)日：2020-01-09

申请号：US16490996

申请日：2018-03-05

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： FALK UHLEMANN ,  GRAHAM MICHAEL PLACE ,  INGMAR GRAESSLIN ,  CHRISTIAN FINDEKLEE ,  OLIVER LIPS ,  CORNELIS JACOBUS HENDRIKUS BLOM

IPC: G01R33/36 ,  G01R33/54 ,  G06F11/07

Abstract: When predicting required component service in an imaging device such as a magnetic resonance (MR) imaging device (12), component parameters such as coil voltage, phase lock lost (PLL) events, etc. are sampled to monitor system components. Voltage samples are filtered according to their temporal proximity to coil plug-in and unplug events to generate a filtered data set that is analyzed by a processor (46) to determine whether to transmit a fault report. A service recommendation is received based on the transmitted report and includes a root cause diagnosis and service recommendation that is output to a user interface (50).

公开(公告)号：US20210118554A1

公开(公告)日：2021-04-22

申请号：US17254321

申请日：2019-06-19

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： THOMAS ERIK AMTHOR ,  LIQIN WANG ,  CHENGUANG ZHAO ,  JOACHIM DIETER SCHMIDT ,  JORN BORGERT ,  YAJING ZHANG ,  INGMAR GRAESSLIN ,  TANJA NORDHOFF

IPC: G16H30/40 ,  G01R33/54 ,  G16H50/20 ,  G06F16/23

Abstract: The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject (318) using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.

公开(公告)号：US20210181287A1

公开(公告)日：2021-06-17

申请号：US16759778

申请日：2018-10-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： KARSTEN SOMMER ,  TOM BROSCH ,  TIM PHILIPP HARDER ,  JOCHEN KEUPP ,  INGMAR GRAESSLIN ,  RAFAEL WIEMKER ,  AXEL SAALBACH

IPC: G01R33/565 ,  G01R33/56 ,  G06T5/00 ,  G06T7/00 ,  G06T5/50 ,  G06T5/20 ,  G06N3/08 ,  G06N3/04

Abstract: The invention relates to a magnetic resonance imaging data processing system (126) for processing motion artifacts in magnetic resonance imaging data sets using a deep learning network (146, 502, 702) trained for the processing of motion artifacts in magnetic resonance imaging data sets. The magnetic resonance imaging data processing system (126) comprises a memory (134, 136) storing machine executable instructions (161, 164) and the trained deep learning network (146, 502, 702). Furthermore, the magnetic resonance imaging data processing system (126) comprises a processor (130) for controlling the magnetic resonance imaging data processing system. Execution of the machine executable instructions (161, 164) causes the processor (130) to control the magnetic resonance imaging data processing system (126) to: receive a magnetic resonance imaging data set (144, 500, 800), apply the received magnetic resonance imaging data set (144, 500, 800) as an input to the trained deep learning network (146, 502, 702), process one or more motion artifacts present in the received magnetic resonance imaging data set (144, 500, 800) using the trained deep learning network (146, 502, 702).

公开(公告)号：US20200170534A1

公开(公告)日：2020-06-04

申请号：US16695363

申请日：2019-11-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： NICK FLAESCHNER ,  RONALDUS MARIA AARTS ,  PETER BOERNERT ,  ARNE EWALD ,  GLEICH BERNHARD ,  INGMAR GRAESSLIN ,  RAYMOND VAN EE

IPC: A61B5/0482 ,  A61B5/04 ,  A61B5/00 ,  A61B5/08 ,  G06F3/01

Abstract: The invention provides for a medical instrument (100, 400, 500, 600) comprising an activity measurement system (106) configured for measuring brain activity data (138) from a subject (102). The medical instrument further comprises a stimulus presentation system (108) configured for providing sensory stimulus to the subject. The medical instrument further comprises a memory (130) for storing machine executable instructions (132) and for storing a stimulus reinforcer database (134). The stimulus reinforcer database comprises entries. Each entry comprises commands configured for controlling the stimulus presentation system to provide the sensory stimulus to the subject. The medical instrument further comprises a processor (120) for controlling the medical instrument. Execution of the machine executable instructions causes the processor to: control (200) the stimulus presentation system with a set of entries (136) selected from the stimulus reinforcer database to repeatedly provide sensory stimulus to the subject; control (202) the activity measurement system for performing the measurement of the brain activity data during each sensor stimulus; select (204) a chosen entry (140) from the set of entries using the brain activity data; and store (206) the chosen entry in the memory.