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.

公开(公告)号：US10698062B2

公开(公告)日：2020-06-30

申请号：US15781197

申请日：2016-12-01

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Ming Yang ,  Feng Huang ,  Yu Li Huang

IPC: G01R33/563 ,  A61B5/055 ,  A61B5/00 ,  G01R33/56 ,  G01R33/565

Abstract: Embodiments of the present invention provide a method for generating a synthetic diffusion image. The method comprises the steps of acquiring multiple sets of initial diffusion scan data by means of diffusion weighted magnetic resonance scans at multiple initial b-values, deriving an initial diffusion image from at least part of the initial diffusion scan data, acquiring target diffusion scan data by means of a diffusion weighted magnetic resonance scan at a target b-value higher than each of the initial b-values, and generating the synthetic diffusion image by performing a cost function based reconstruction to apply a fidelity term in k space to the synthetic diffusion image based on at least the initial diffusional image, and the target diffusion scan data.