High spatio-temporal resolution dynamic contrast-enhnaced MRI using compressed sensing

Kyunghyun Sung, Manoj Saranathan, Bruce L. Daniel, Brian A. Hargreaves

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Iterative thresholding methods have been extensively studied as faster alternatives to convex optimization methods for solving large-sized problems in compressed sensing MRI. A novel iterative thresholding method, called LCAMP (Location Constrained Approximate Message Passing), is presented for reducing computational complexity and improving reconstruction accuracy when a non-zero location (or sparse support) constraint can be obtained from view shared images in dynamic contrast-enhanced MRI (DCE-MRI). LCAMP modifies the existing approximate message passing algorithm by replacing the thresholding stage with a location constraint, which avoids adjusting regularization parameters or thresholding levels. This work is applied to breast DCE-MRI to demonstrate the excellent reconstruction accuracy and low computation time with highly undersampled data.

Original languageEnglish (US)
Title of host publication2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
StatePublished - 2012
Externally publishedYes
Event2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 - Hollywood, CA, United States
Duration: Dec 3 2012Dec 6 2012

Publication series

Name2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012

Conference

Conference2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
Country/TerritoryUnited States
CityHollywood, CA
Period12/3/1212/6/12

ASJC Scopus subject areas

  • Information Systems

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