Compressively Sampled MR Image Reconstruction Using Hyperbolic Tangent-Based Soft-Thresholding

Verfasser / Beitragende:
[Jawad Shah, I. Qureshi, Julio Proano, Yiming Deng]
Ort, Verlag, Jahr:
2015
Enthalten in:
Applied Magnetic Resonance, 46/8(2015-08-01), 837-851
Format:
Artikel (online)
ID: 605546037
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024 7 0 |a 10.1007/s00723-015-0683-2  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00723-015-0683-2 
245 0 0 |a Compressively Sampled MR Image Reconstruction Using Hyperbolic Tangent-Based Soft-Thresholding  |h [Elektronische Daten]  |c [Jawad Shah, I. Qureshi, Julio Proano, Yiming Deng] 
520 3 |a The application of compressed sensing (CS) to magnetic resonance (MR) images utilizes the transformed domain sparsity to enable the reconstruction from an under-sampled k-space (Fourier) data using a non-linear recovery algorithm. In order to estimate the missing k-space data from the partial Fourier samples, the reconstruction algorithms minimize an objective function based on mixed l 1−l 2 norms. Iterative-shrinkage algorithms, such as parallel coordinate descent (PCD) and separable surrogate functional, provide an efficient numerical technique to minimize the l 1-regularized least square optimization problem. These algorithms require a thresholding step to induce sparsity in the solution, which is an essential requirement of the CS recovery. This paper introduces a novel soft-thresholding method based on the hyperbolic tangent function. It has been shown that by using the proposed thresholding function in the sparsifying domain and a data consistency step in the k-space, the iterative-shrinkage algorithms can be used effectively to recover the under-sampled MR images. For the purpose of demonstration, we use the proposed soft-thresholding and data consistency with the PCD algorithm and compare its performance with the conventional PCD, projection onto convex sets and low-resolution reconstruction methods. The metrics used to compare the various algorithms are the artifact power, the peak signal-to-noise ratio, the correlation and the structural similarity index. The experimental results are validated using Shepp-Logan phantom image as well as real human head MR images taken from the MRI scanner at St. Mary's Hospital, London. 
540 |a Springer-Verlag Wien, 2015 
700 1 |a Shah  |D Jawad  |u Department of Electrical Engineering, University of Colorado Denver and Anschutz Medical Campus, Denver, USA  |4 aut 
700 1 |a Qureshi  |D I.  |u Department of Electrical Engineering, Institute of Signals, Systems and Soft computing (ISSS), Air University, Islamabad, Pakistan  |4 aut 
700 1 |a Proano  |D Julio  |u Department of Electrical Engineering, University of Colorado Denver and Anschutz Medical Campus, Denver, USA  |4 aut 
700 1 |a Deng  |D Yiming  |u Department of Electrical Engineering, University of Colorado Denver and Anschutz Medical Campus, Denver, USA  |4 aut 
773 0 |t Applied Magnetic Resonance  |d Springer Vienna  |g 46/8(2015-08-01), 837-851  |x 0937-9347  |q 46:8<837  |1 2015  |2 46  |o 723 
856 4 0 |u https://doi.org/10.1007/s00723-015-0683-2  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00723-015-0683-2  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Shah  |D Jawad  |u Department of Electrical Engineering, University of Colorado Denver and Anschutz Medical Campus, Denver, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Qureshi  |D I.  |u Department of Electrical Engineering, Institute of Signals, Systems and Soft computing (ISSS), Air University, Islamabad, Pakistan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Proano  |D Julio  |u Department of Electrical Engineering, University of Colorado Denver and Anschutz Medical Campus, Denver, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Deng  |D Yiming  |u Department of Electrical Engineering, University of Colorado Denver and Anschutz Medical Campus, Denver, USA  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Applied Magnetic Resonance  |d Springer Vienna  |g 46/8(2015-08-01), 837-851  |x 0937-9347  |q 46:8<837  |1 2015  |2 46  |o 723