Patent №
US 10,698,062
Granted
2020-06-30
Filed 2018
Owner
KONINLIJKE PHILIPS N.V.
Lab
—
AI components
1
vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15781197
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.
AI classification
Ownership
KONINLIJKE PHILIPS N.V.
assignment · 469260890
Assignors
HUANG, FENG, YANG, MING, HUANG, YU LI
On an employer assignment, the assignors are typically the inventors.