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• Review •
Compressed sensing and its application in cardiac magnetic resonance imaging
LI Shuang  LU Min-jie  ZHAO Shi-hua 

DOI:10.12015/issn.1674-8034.2018.04.012.


[Abstract] MRI is becoming more and more important in the diagnosis and differential diagnosis of cardiovascular diseases. However, the relatively slow scanning speed and susceptibility to motion artifacts are the main defects, which limit its clinical application to some extent. Compressed sensing (CS) is a new signal acquisition theory which is founded on the premise of reconstructing an image by acquiring less data through undersampling of k-space. Sparsity, incoherence sampling and nonlinear reconstruction are the necessary conditions for its applications. By combining compressed sensing technology, MRI can greatly improve the scanning speed without sacrificing the spatial resolution at the same time. Therefore, to some extent, it has unique advantages for cardiovascular magnetic resonance (CMR). In this review, the basic principle of compressive sensing and its application in cardiac magnetic resonance are reviewed in detail.
[Keywords] Compressed sensing；Magnetic resonance imaging；Heart

LI Shuang Peking Union Medical College and Chinese Academy of Medical Sciences, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Beijing 100037, China

LU Min-jie* Peking Union Medical College and Chinese Academy of Medical Sciences, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Beijing 100037, China

ZHAO Shi-hua Peking Union Medical College and Chinese Academy of Medical Sciences, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Beijing 100037, China

*Corresponding to: Lu MJ, E-mail: coolkan@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation of China No. 81571647, 81771811 Beijing Natural Science Foundation Project No. 7152124 Capital Clinical Characteristic Project No. Z151100004015141
Received  2017-11-21
Accepted  2018-01-15
DOI: 10.12015/issn.1674-8034.2018.04.012
DOI:10.12015/issn.1674-8034.2018.04.012.

[1]
Candès EJ, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 2006, 52(2): 489-509.
[2]
Lustig M, Donoho D, Pauly JM. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med, 2007, 58(6): 1182-1195.
[3]
Candè EJ, Wakin MB. An introduction to compressive sampling. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.
[4]
王水花，张煜东.压缩感知磁共振成像技术综述.中国医学物理学杂志, 2015, 32(2): 158-162.
[5]
Qu X, Cao X, Guo D, et al. Combined sparsifying transforms for compressed sensing MRI. Electron Lett, 2010, 46(2): 121-123.
[6]
Feng L, Benkert T, Block KT, et al. Compressed sensing for body MRI. J Magn Reson Imaging, 2017, 45(4): 966-987.
[7]
钟晓燕，卜祥磊，田辉勇.压缩感知在磁共振成像中的应用研究.医疗装备, 2015(6): 1-5.
[8]
Lustig M, Santos JM, Donoho DL, et al. k-t SPARSE: high frame rate dynamic MRI exploiting spatio-temporal sparsity. Proceedings of the 13th Annual Meeting of ISMRM, Miami, Seatle, USA, 2006.
[9]
Usman M, Prieto C, Schaeffter T, et al. k-t Group sparse: a method for accelerating dynamic MRI. Magn Reson Med, 2011, 66(4): 1163.
[10]
Eberle HC, Nassenstein K, Jensen CJ, et al. Rapid MR assessment of left ventricular systolic function after acute myocardial infarction using single breath-hold cine imaging with the temporal parallel acquisition technique (TPAT) and 4D guide-point modelling analysis of left ventricular function. Eur Radiol, 2010, 20(1): 73-80.
[11]
Vincenti G, Monney P, Chaptinel J, et al. Compressed sensing single-breath-hold CMR for fast quantification of LV function, volumes, and mass. Jacc Cardiovascular Imaging, 2014, 7(9): 882-892.
[12]
Kido T, Kido T, Nakamura M, et al. Assessment of left ventricular function and mass on free-breathing compressed sensing real-time cine imaging. Circulation Journal, 2017, 81(10): 1463-1468.
[13]
陆敏杰，赵世华. MR并行采集技术及其在心脏MR检查中的应用.中华放射学杂志, 2008, 42(12): 1345-1347.
[14]
Akcakaya M, Basha TA, Chan RH, et al. Accelerated isotropic sub-millimeter whole-heart coronary MRI: compressed sensing versus parallel imaging. Magn Reson Med, 2014, 71(2): 815-822.
[15]
陆敏杰，赵世华，张普洪,等.时间调整敏感度编码与全局自动校准部分并行采集技术在心功能评价中的比较.中华放射学杂志, 2007, 41(1): 10-13.
[16]
Akcakaya M, Rayatzadeh H, Basha TA, et al. Accelerated late gadolinium enhancement cardiac MR imaging with isotropic spatial resolution using compressed sensing: initial experience. Radiology, 2012, 264(3): 691-699.
[17]
Otazo R, Kim D, Axel L, et al. Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI. Magn Reson Med, 2010, 64(3): 767-776.
[18]
Niendorf T, Sodickson DK. Highly accelerated cardiovascular MR imaging using many channel technology: concepts and clinical applications. Eur Radiol, 2008, 18(1): 87-102.
[19]
夏爽，祁吉. MR并行采集技术的优势.国际医学放射学杂志, 2006, 29(5): 348-353.
[20]
Goldfarb JW. The SENSE ghost: Field-of-view restrictions for SENSE imaging. J Magn Reson Imaging, 2004, 20(6): 1046-51.
[21]
Vasanawala SS, Alley MT, Hargreaves BA, et al. Improved pediatric MR imaging with compressed sensing. Radiology, 2010, 256(2): 607.
[22]
Feng L, Otazo R, Jung H, et al. Accelerated cardiac T2 mapping using breath-hold multiecho fast spin-echo pulse sequence with k-t FOCUSS. Magn Reson Med, 2011, 65(6): 1661.

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