公开(公告)号：US20230408612A1

公开(公告)日：2023-12-21

申请号：US18035141

申请日：2021-11-04

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Yajing Zhang ,  Jiazheng Wang

IPC: G01R33/483 ,  G01R33/54 ,  G01R33/56

CPC classification number: G01R33/4836 ,  G01R33/543 ,  G01R33/5608

Abstract: Disclosed herein is a medical system (100, 300) comprising a memory (110) storing machine executable instructions (120) and a convolutional neural network (122). The convolutional neural network is configured to receive as input a complex array (128) encoding a selection of at least one excitation field of view (324, 900) and in response output a radio frequency wave form (130) and multiple spatially selective gradient pulse waveforms (132). The convolutional neural network is a multi-task convolutional neural network. The execution of the machine executable instructions causes a computational system (104) to: receive (200) a selection (124) of the at least one excitation field of view; receive (202) initial pulse sequence commands (126); encode (204) the complex array using the at least one excitation field of view; receive (206) the radio frequency wave form and the multiple spatially selective gradient pulse waveforms in response to inputting the complex array into the convolutional neural network; and construct (208) modified pulse sequence commands (134) by modifying the initial pulse sequence commands with the radio frequency wave form and the multiple spatially selective gradient pulse waveforms.

公开(公告)号：US11574728B2

公开(公告)日：2023-02-07

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: G01V3/00 ,  G16H30/40 ,  G16H50/20 ,  G06F16/23 ,  G01R33/54

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.