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Compressed Sensing for Thoracic MRI with Partial Random Circulant Matrices

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Title Statement Compressed Sensing for Thoracic MRI with Partial Random Circulant Matrices
 
Added Entry - Uncontrolled Name Swastika, Windra; Ma Chung University
Haneishi, Hideaki; Chiba University
 
Summary, etc. <p><em>The use of circulant matrix as the sensing matrix in compressed sensing (CS) scheme has recently been proposed to overcome the limitation of random or partial Fourier matrices. Aside from reducing computational complexity, the use of circulant matrix for </em><em>magnetic resonance (MR) image offers the feasibility in hardware implementations. This paper presents the simulation of compressed sensing for thoracic MR imaging with circulant matrix as the sensing matrix. The comparisons of reconstruction of three different type MR images using circulant matrix are investigated in term of number of samples, number of iteration and signal to noise ratio (SNR). The simulation results showed that circulant matrix works efficiently for encoding the MR image of respiratory organ, especially for smooth and sparse image in spatial domain.</em></p>
 
Publication, Distribution, Etc. Universitas Ahmad Dahlan
2012-03-01 00:00:00
 
Electronic Location and Access application/pdf
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/772
 
Data Source Entry TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 10, No 1: March 2012
 
Language Note en
 
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