Computer Science

Computer Science ›› 2019, Vol. 46 ›› Issue (1): 36-44.doi: 10.11896／j.issn.1002-137X.2019.01.006

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Application Status and Development Trends of Cardiac Magnetic Resonance Fast Imaging Based on Compressed Sensing Theory

HENG Yang1, CHEN Feng2, XU Jian-feng3, TANG Min1,4,5   

  1. (School of Electronics and Information Engineering,Nantong University,Nantong,Jiangsu 226007,China)1
    (School of Electrical Engineering,Nantong University,Nantong,Jiangsu 226007,China)2
    (Department of Medical Imaging,Affiliated Hospital of Nantong University,Nantong,Jiangsu 226007,China)3
    (Tongke School of Microelectronics,Nantong,Jiangsu 226007,China)4
    (Nantong University-Nantong Joint Research Center for Intelligent Information Technology,Nantong,Jiangsu 226007,China)5
  • Received:2018-03-09 Online:2019-01-15 Published:2019-02-25

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Abstract: Cardiac Magnetic Resonance (CMR) has several shortcomings in practical application,such as slow imaging speed and inevitable artifacts.Compressed Sensing (CS) is applied to CMR to make full use of the redundancy of K space information,and the images are reconstructed from partial K space data to reduce artifacts and ensure image accuracy.This paper summarized a review according to the domestic and foreign literatures published in recent three years.Firstly,this paper described the current situation of CMR,the commonly used sequences,sampling mask and the compressed sensing theory,respectively.Then,it provided the latest fruits and applications of CMR with an introduction to objective quantitative indices and research progress of the authors in the CS-CMR field.Finally,it concluded the shortcomings of current researches and analyzed the further research trends.

Key words: Cardiac magnetic resonance, Compressed sensing, Fast imaging techniques

CLC Number: 

  • TP391
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