DocumentCode :
1478057
Title :
FOCUSS Based Schatten-p Norm Minimization for Real-Time Reconstruction of Dynamic Contrast Enhanced MRI
Author :
Majumdar, Angshul
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Volume :
19
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
315
Lastpage :
318
Abstract :
This work addresses the problem of real-time reconstruction of Dynamic Contrast Enhanced Magnetic Resonance Images (DCE MRI) from partially sampled K-space. The difference image between the current and previous frame is modeled as a rank deficient matrix. It is reconstructed from via nonconvex Schatten-p norm minimization. We develop a FOCUSS (FOCally Under-determined System Solver) based algorithm for solving the said minimization problem. The proposed technique has been compared with state-of-the-art online and offline reconstruction techniques. It yields slightly worse reconstruction results than the offline technique but considerably superior results, both in terms of accuracy and speed compared to the online technique.
Keywords :
biomedical MRI; concave programming; image enhancement; image reconstruction; medical image processing; minimisation; FOCUSS-based Schatten-p norm minimization; dynamic contrast enhanced MRI; focally-underdetermined system solver; magnetic resonance images; nonconvex Schatten-p norm minimization; offline reconstruction technique; online reconstruction technique; partially-sampled K-space; rank-deficient matrix; real-time reconstruction; Compressed sensing; Heuristic algorithms; Image reconstruction; Magnetic resonance imaging; Minimization; Real time systems; Compressed sensing; MRI; multiple measurement vector;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2012.2191776
Filename :
6174447
Link To Document :
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