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.