Compressed Sensing MRI Reconstruction Algorithm Based on Contourlet Transform and Alternating Direction MethodReportar como inadecuado




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Journal of Electrical and Computer Engineering - Volume 2015 2015, Article ID 175231, 5 pages -

Research ArticleSchool of Information and Mathematics, Yangtze University, Hubei 434020, China

Received 29 July 2015; Accepted 20 October 2015

Academic Editor: Gianluca Setti

Copyright © 2015 Zhenyu Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Compressed sensing CS based methods have recently been used to reconstruct magnetic resonance MR images from undersampled measurements, which is known as CS-MRI. In traditional CS-MRI, wavelet transform can hardly capture the information of image curves and edges. In this paper, we present a new CS-MRI reconstruction algorithm based on contourlet transform and alternating direction method ADM. The MR images are firstly represented by contourlet transform, which can describe the images’ curves and edges fully and accurately. Then the MR images are reconstructed by ADM, which is an effective CS reconstruction method. Numerical results validate the superior performance of the proposed algorithm in terms of reconstruction accuracy and computation time.





Autor: Zhenyu Hu, Qiuye Wang, Congcong Ming, Lai Wang, Yuanqing Hu, and Jian Zou

Fuente: https://www.hindawi.com/



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