Patent · US Active

Multi-contrast MRI sampling and image reconstruction

US12013452B2 · kind B2 · utility

0Cited by

2References

18Claims

0Family size

Assignee

Shanghai United Imaging Intelligence Co., Ltd. · CN

Inventors

Xiao Chen · Cambridge, US
Zhang Chen · Cambridge, US
Yikang Liu · Cambridge, US
Shanhui Sun · Princeton, US
Terrence Chen · Princeton, US
Lin Zhao · Anshan City, CN

Key dates

Filing date	May 10, 2022
Grant date	Jun 18, 2024
Priority date	—
Expiry date	Oct 18, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/08
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Described herein are systems, methods, and instrumentalities associated with reconstruction of multi-contrast magnetic resonance imaging (MRI) images. The reconstruction may be performed based on under-sampled MRI data collected for the multiple contrasts using corresponding sampling patterns. The sampling patterns and the reconstruction operations for the multiple contrasts may be jointly optimized using deep learning techniques implemented through one or more neural networks. An end-to-end reconstruction optimizing framework is provided with which information collected while processing one contrast may be stored and used for another contrast. A differentiable sampler is described for obtaining the under-sampled MRI data from a k-space and a novel holistic recurrent neural network is used to reconstruct MRI images based on the under-sampled MRI data.

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