Patent · US Active

Multi-shot diffusion-weighted MRI reconstruction using unrolled network with U-net as priors

US10901059B1 · kind B1 · utility

1Cited by

0References

5Claims

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Assignee

The Board of Trustees of the Leland Stanford Junior University · US

Inventors

Yuxin Hu · Tangxia, CN
Brian A. Hargreaves · Menlo Park, US

Key dates

Filing date	Jan 31, 2020
Grant date	Jan 26, 2021
Priority date	—
Expiry date	Jan 31, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG01R33/56509
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A method of magnetic resonance imaging performs a scan by a magnetic resonance imaging system to acquire k-space data; applies the k-space data as input to an unrolled convolutional neural network comprising multiple iterations, and generates reconstructed images from the output of the unrolled convolutional neural network by combining images from different shots. Each iteration of the unrolled network performs a first gradient update, applies the result to a first U-net in k-space, performs a second gradient update, and applies a second U-net in image space. The first gradient update and the second gradient update are based on a theoretical gradient from a physical measurement model.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.