• Review •
Compressed sensing and its application in cardiac magnetic resonance imaging
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. |
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