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Non-uniform sparsity in rapid compressive sensing MRI

conference contribution
posted on 2012-01-01, 00:00 authored by F Razzaq, Shady MohamedShady Mohamed, Asim BhattiAsim Bhatti, Saeid NahavandiSaeid Nahavandi
Magnetic Resonance Imaging (MRI) is one of the prominent medical imaging techniques. This process is time-consuming and can take several minutes to acquire one image. The aim of this research is to reduce the imaging process time of MRI. This issue is addressed by reducing the number of acquired measurements using theory of Compressive Sensing (CS). Compressive Sensing exploits sparsity in MR images. Randomly under sampled k-space generates incoherent noise which can be handled using a nonlinear image reconstruction method. In this paper, a new framework is presented based on the idea to exploit non-uniform nature of sparsity in MR images, where local sparsity constrains were used instead of traditional global constraint, to further reduce the sample set. Experimental results and comparison with CS using global constraint are demonstrated.

History

Event

IEEE Systems, Man and Cybernetics. Conference (2012 : Seoul, Korea)

Pagination

2253 - 2258

Publisher

IEEE

Location

Seoul, Korea

Place of publication

Piscataway, N.J.

Start date

2012-10-14

End date

2012-10-17

ISBN-13

9781467317146

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2012, IEEE

Title of proceedings

SMC 2012 : Proceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics