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Flexible reduced field of view magnetic resonance imaging based on single-shot spatiotemporally encoded technique |
Li Jing (李敬)a, Cai Cong-Bo (蔡聪波)b, Chen Lin (陈林)a, Chen Ying (陈颖)c, Qu Xiao-Bo (屈小波)a, Cai Shu-Hui (蔡淑惠)a |
a Department of Electronics Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China;
b Department of Communication Engineering, Xiamen University, Xiamen 361005, China;
c Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou 310058, China |
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Abstract In many ultrafast imaging applications, the reduced field-of-view (rFOV) technique is often used to enhance the spatial resolution and field inhomogeneity immunity of the images. The stationary-phase characteristic of the spatiotemporally-encoded (SPEN) method offers an inherent applicability to rFOV imaging. In this study, a flexible rFOV imaging method is presented and the superiority of the SPEN approach in rFOV imaging is demonstrated. The proposed method is validated with phantom and in vivo rat experiments, including cardiac imaging and contrast-enhanced perfusion imaging. For comparison, the echo planar imaging (EPI) experiments with orthogonal RF excitation are also performed. The results show that the signal-to-noise ratios of the images acquired by the proposed method can be higher than those obtained with the rFOV EPI. Moreover, the proposed method shows better performance in the cardiac imaging and perfusion imaging of rat kidney, and it can scan one or more regions of interest (ROIs) with high spatial resolution in a single shot. It might be a favorable solution to ultrafast imaging applications in cases with severe susceptibility heterogeneities, such as cardiac imaging and perfusion imaging. Furthermore, it might be promising in applications with separate ROIs, such as mammary and limb imaging.
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Received: 13 May 2015
Revised: 12 June 2015
Accepted manuscript online:
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PACS:
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87.61.-c
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(Magnetic resonance imaging)
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87.61.Bj
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(Theory and principles)
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87.61.Hk
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(Pulse sequences)
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11474236, 81171331, and U1232212). |
Corresponding Authors:
Cai Shu-Hui
E-mail: shcai@xmu.edu.cn
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Cite this article:
Li Jing (李敬), Cai Cong-Bo (蔡聪波), Chen Lin (陈林), Chen Ying (陈颖), Qu Xiao-Bo (屈小波), Cai Shu-Hui (蔡淑惠) Flexible reduced field of view magnetic resonance imaging based on single-shot spatiotemporally encoded technique 2015 Chin. Phys. B 24 108703
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[1] |
Epstein F H, Wolff S D and Arai A E 1999 Magn. Reson. Med. 41 609
|
[2] |
Preibisch C, Pilatus U, Bunke J, Hoogenraad F, Zanella F and Lanfermann H 2003 Neuroimage 19 412
|
[3] |
Liu W T, Zu D L and Tang X 2010 Chin. Phys. B 19 018701
|
[4] |
Goerke U, Garwood M and Ugurbil K 2011 Neuroimage 54 350
|
[5] |
Fang S and Guo H 2014 Chin. Phys. B 23 057401
|
[6] |
Wang L Q and Wang W M 2014 Chin. Phys. B 23 028703
|
[7] |
Yue X L, Ma F and Dai Z F 2014 Chin. Phys. B 23 044301
|
[8] |
Xiao X, Song H, Wang Z J and Wang L 2014 Chin. Phys. B 23 074101
|
[9] |
Mansfield P 1977 J. Phys. C: Solid State Phys. 10 55
|
[10] |
Mansfield P, Ordidge R J and Coxon R 1988 J. Phys. E 21 275
|
[11] |
Turner R, von Kienlin M, Moonen C T and van Zijl P C 1990 Magn. Reson. Med. 14 401
|
[12] |
Shungu D C and Glickson J D 1993 Magn. Reson. Med. 30 661
|
[13] |
Jezzard P and Balaban R S 1995 Magn. Reson. Med. 34 65
|
[14] |
Chen N K and Wyrwicz A M 2001 Magn. Reson. Med. 45 525
|
[15] |
Chiou J Y, Ahn C B, Muftuler L T and Nalcioglu O 2003 IEEE Trans. Med. Imaging 22 200
|
[16] |
Chen N K, Oshio K and Panych L P 2006 Neuroimage 31 609
|
[17] |
Luo Y, de Graaf R A, DelaBarre L, Tannus A and Garwood M 2001 Magn. Reson. Med. 45 1095
|
[18] |
Felmlee J P and Ehman R L 1987 Radiology 164559
|
[19] |
Zeng H and Constable R T 2002 Magn. Reson. Med. 48 137
|
[20] |
Rieseberg S, Frahm J and Finsterbusch J 2002 Magn. Reson. Med. 47 1186
|
[21] |
Zhao L, Madore B and Panych L 2005 Magn. Reson. Med. 53 1118
|
[22] |
Li J, Chen L, Cai S H, Cai C B, Zhong J H and Chen Z 2015 Neuroimage 105 93
|
[23] |
Hardy C J and Cline H E 1989 J. Magn. Reson. 82 647
|
[24] |
Ben-Eliezer N, Irani M and Frydman L 2010 Magn. Reson. Med. 63 1594
|
[25] |
Tal A and Frydman L 2010 Prog. Nucl. Mag. Res. Sp. 57 241
|
[26] |
Ben-Eliezer N, Shrot Y and Frydman L 2010 Magn. Reson. Imaging 28 77
|
[27] |
Chamberlain R, Park J Y, Corum C, Yacoub E, Ugurbil K, Jack C R Jr and Garwood M 2007 Magn. Reson. Med. 58 794
|
[28] |
Chen Y, Li J, Qu X, Chen L, Cai C, Cai S, Zhong J and Chen Z 2013 Magn. Reson. Med. 69 1326
|
[29] |
Ben-Eliezer N, Shrot Y, Frydman L and Sodickson D K 2014 Magn. Reson. Med. 72 418
|
[30] |
Cai C B, Dong J Y, Cai S H, Li J, Chen Y, Bao L J and Chen Z 2013 J. Magn. Reson. 228 136
|
[31] |
Chen L, Bao L, Li J, Cai S, Cai C and Chen Z 2013 J. Magn. Reson. 237 115
|
[32] |
Dumez J N and Frydman L 2013 J. Magn. Reson. 226 22
|
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