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Pulse Sequence based MR Images for Compressed Sensing Algorithm Applications  

Gho, Sung-Mi (School of Electrical and Electronic Engineering, Yonsei University)
Choi, Na-Rae (School of Electrical and Electronic Engineering, Yonsei University)
Kim, Dong-Hyun (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.5, 2009 , pp. 1-7 More about this Journal
Abstract
In recent years, compressed sensing (CS) algorithm has been studied in various research areas including medical imaging. To use the CS algorithm, the signal that is to be reconstructed needs to have the property of sparsity But, most medical images generally don't have this property. One method to overcome this problem is by using sparsifying transform. However, MR imaging, compared to other medical imaging modality, has the unique property that by using appropriate image acquisition pulse sequences, the image contrast can be modified. In this paper, we propose the possibility of applying the CS algorithm with non-sparsifying transform to the pulse sequence modified MR images and improve the reconstruction performance of the CS algorithm by using an appropriate sparsifying transform. We verified the proposed contents by computer simulation using Shepp-Logan phantom and in vivo data.
Keywords
Compressed Sensing; medical image; MR image; pulse sequence; sparsifying transform;
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