Patent · US Active

Method for image reconstruction from undersampled medical imaging data

US8310233B2 · kind B2 · utility

37Cited by

1References

19Claims

0Family size

Assignee

Mayo Foundation for Medical Education and Research · US

Inventors

Joshua D. Trzasko · Rochester, US
Armando Manduca · Rochester, US

Key dates

Filing date	Feb 15, 2010
Grant date	Nov 13, 2012
Priority date	—
Expiry date	Jun 11, 2031

Classification

Technology area (CPC G)Physics
CPC primaryG01R33/5611
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A method for image reconstruction that utilizes a generalization of compressed sensing is provided. More particularly, a method for homotopic l0 minimization is provided, in which a series of subproblems that asymptotically approach a solution to the l0 minimization are iteratively solved. These subproblems include utilizing concave metric prior functionals in the traditional compressed sensing framework. Substantially undersampled image data is acquired from a subject, for example, with a medical imaging system, such as a magnetic resonance imaging (“MRI”) system or a computed tomography (“CT”) system. Using the provided method, undersampling on the order of around 96 percent can be achieved while still producing clinically acceptable images.

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