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.

公开(公告)号：US10429471B2

公开(公告)日：2019-10-01

申请号：US15579623

申请日：2016-06-07

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Chenguang Zhao ,  Feng Huang ,  Ming Yang

IPC: G01R33/48 ,  G01R33/561

Abstract: The invention provides a device for producing a magnetic resonance image. The device comprises a collecting unit adapted for collecting k space samples that are located on a non-Cartesian grid in a non-Cartesian coordinate space or non-uniformly located on a Cartesian grid in a Cartesian coordinate space, the non-Cartesian/Cartesian coordinate space adapted to be decomposed into a plurality of subspaces, each of which extends along one or more coordinate axes of the non-Cartesian/Cartesian coordinate space; a weight calculation unit (203) adapted for calculating a decomposed sample density weight function of the k space samples in each individual subspace and determining a density weight function in the non-Cartesian/Cartesian coordinate space via a multiplication of the decomposed sample density weight functions of the k space samples in the plurality of subspaces; a gridding unit adapted for interpolating the k space samples in the non-Cartesian/Cartesian coordinate space onto a uniform Cartesian grid in a k space based on the density weight function of the k space samples in the non-Cartesian/Cartesian coordinate space; and a reconstructing unit adapted for reconstructing the magnetic resonance image based on the interpolated k space samples. By means of the invention, fast, preferably on-demand, calculation of the sampling density weights may be achieved.