A Feasibility Study of Geometric-Decomposition Coil Compression in MRI Radial Acquisitions
Joint Authors
Wang, Yiran
Wang, Jing
Chen, Zhifeng
Yuan, Lixia
Xia, Ling
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Receiver arrays with a large number of coil elements are becoming progressively available because of their increased signal-to-noise ratio (SNR) and enhanced parallel imaging performance.
However, longer reconstruction time and intensive computational cost have become significant concerns as the number of channels increases, especially in some iterative reconstructions.
Coil compression can effectively solve this problem by linearly combining the raw data from multiple coils into fewer virtual coils.
In this work, geometric-decomposition coil compression (GCC) is applied to radial sampling (both linear-angle and golden-angle patterns are discussed) for better compression.
GCC, which is different from directly compressing in k-space, is performed separately in each spatial location along the fully sampled directions, then followed by an additional alignment step to guarantee the smoothness of the virtual coil sensitivities.
Both numerical simulation data and in vivo data were tested.
Experimental results demonstrated that the GCC algorithm can achieve higher SNR and lower normalized root mean squared error values than the conventional principal component analysis approach in radial acquisitions.
American Psychological Association (APA)
Wang, Jing& Chen, Zhifeng& Wang, Yiran& Yuan, Lixia& Xia, Ling. 2017. A Feasibility Study of Geometric-Decomposition Coil Compression in MRI Radial Acquisitions. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1142312
Modern Language Association (MLA)
Wang, Jing…[et al.]. A Feasibility Study of Geometric-Decomposition Coil Compression in MRI Radial Acquisitions. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1142312
American Medical Association (AMA)
Wang, Jing& Chen, Zhifeng& Wang, Yiran& Yuan, Lixia& Xia, Ling. A Feasibility Study of Geometric-Decomposition Coil Compression in MRI Radial Acquisitions. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1142312
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142312