Patent · US Active

Sparse approximate encoding of Wave-CAIPI: preconditioner and noise reduction

US11035920B2 · kind B2 · utility

1Cited by

1References

14Claims

0Family size

Assignee

The General Hospital Corporation · US

Inventors

Lawrence L. Wald · Cambridge, US
Kawin Setsompop · Boston, US
Stephen Farman Cauley · Cambridge, US

Key dates

Filing date	Jul 12, 2019
Grant date	Jun 15, 2021
Priority date	—
Expiry date	Jul 12, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG01R33/5608
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

Described here are systems and methods for producing images of a subject using magnetic resonance imaging (“MRI”) in which data are acquired using a sparse approximate encoding scheme for controlled aliasing techniques. As one example, the sparse approximate encoding can be used for a Wave-CAIPI encoding scheme, which can enable faster image reconstruction using fewer computational resources, in addition to reducing noise in the reconstructed images relative to those reconstructed from data acquired using a Wave-CAIPI encoding scheme without sparse approximate encoding.

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