MRI Reconstruction Algorithm Using Conjugate Gradient Method with Improved Line Search-Reference-Cited by-同舟云学术

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MRI Reconstruction Algorithm Using Conjugate Gradient Method with Improved Line Search

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications - WCNA 2017
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Author:

Yuan Tai-Wen¹,Xie Yong-Le²,Pan Long²,Bi Dong-Jie²,Lyu Jue²

Affiliation:

1. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China, School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China

Publisher

ACM Press

Reference22 articles.

1. Brookes MJ, Vrba J, Mullinger KJ, et al. Source localisation in concurrent EEG/fMRI: Applications at 7T [J]. Neuroimage, 2009, 45(2): 440--452.

2. Zhang Y, Peterson B, Dong Z. A support-based reconstruction for Sense MRI [J]. Sensors, 2013, 13(4): 4029--4040.

3. Wang Shuihua, Zhang Yudong. Survey on compressed sensing magnetic resonance imaging technique [J]. Chinese Journal of Medical Physics, 2015, 32(2):158--162.

4. Val M. Runge, Johannes K. Richter, et al. Speed in Clinical Magnetic Resonance [J]. Investigative Radiology, 2017, Volume 52(1):1--17.

5. Weng Zhuo, Xie Guoxi, et al. Development of fast magnetic resonance imaging techniques based on k-space accelerated collection [J]. Chinese Journal of Biomedical Engineering, 2010, 29(5): 785--790.

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