DIFFUSION MRI METHOD FOR GENERATING A SYNTHETIC DIFFUSION IMAGE AT A HIGH B-VALUE

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.

VisionG01R 33/56341A61B 5/0037A61B 5/055A61B 5/7207G01R 33/5608G01R 33/565

AI classification

Vision1.00
Evolutionary computation0.48
Knowledge representation0.00
Natural language0.00
AI hardware0.00
Machine learning0.00
Planning0.00
Speech0.00

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.

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