Research of Left Ventricle Function Analysis Using Real-time Cardiac Magnetic Resonance Imaging_Journal of Biomedical Engineering

Authors：

YANGFan ¹ ,  HEYan ¹ , ZHANGJie ¹ , WUYin ²

1. School of Biology and Engineering, Guizhou Medical University, Guiyang 550004, China;
2. Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen 518055, China;

Corresponding author：

HEYan, Email: smileconfidence@163.com

Keywords：

real-time free breathing cardiac cine imaging; steady-state free precession protocol; respiratory motion; cardiac motion; automatic identification

DOI：

10.7507/1001-5515.20150227

Video：

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Abstract Full text Figures/Tables Video References Cited by

Real-time free breathing cardiac cine imaging is a reproducible method with shorter acquisition time and without breath-hold for cardiac magnetic resonance imaging. However, the detection of end-diastole and end-systole frames of real-time free breathing cardiac cine imaging for left ventricle function analysis is commonly completed by visual identification, which is time-consuming and laborious. In order to save processing time, we propose a method for semi-automatic identification of end-diastole and end-systole frames. The method fits respiratory motion signal and acquires the expiration phase, end-diastole and end-systole frames by cross correlation coefficient. The procedure successfully worked on ten healthy volunteers and validated by the analysis of left ventricle function compared to the standard breath-hold steady-state free precession cardiac cine imaging without any significant statistical differences. The results demonstrated that the present method could correctly detect end-diastole and end-systole frames. In the future, this technique may be used for rapid left ventricle function analysis in clinic.

Citation： YANGFan, HEYan, ZHANGJie, WUYin. Research of Left Ventricle Function Analysis Using Real-time Cardiac Magnetic Resonance Imaging. Journal of Biomedical Engineering, 2015, 32(6): 1279-1283. doi: 10.7507/1001-5515.20150227 Copy

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1. CHILDS H, MA L, MA M, et al. Comparison of long and short axis quantification of left ventricular volume parameters by cardiovascular magnetic resonance, with ex-vivo validation[J]. J Cardiovasc Magn Reson, 2011, 13:40.
2. SHANKARANARAYANAN A, SIMONETTI O P, LAUB G, et al. Segmented k-space and real-time cardiac cine Mr imaging with radial trajectories[J]. Radiology, 2001, 221(3):827-836.
3. BEER M, STAMM H, MACHANN W, et al. Free breathing cardiac real-time cine Mr without ECG triggering[J]. Int J Cardiol, 2010, 145(2):380-382.
4. TSAFTARIS S A, ZHOU X, TANG R, et al. Unsupervised and reproducible image-based identification of cardiac phases in Cine SSFP MRI[C]//The 18th meeting of the international Society for Magnetic Resonance in Medicine, Stockholm, Sweden, 2010.
5. DING Yu, CHUNG Y C, RAMAN S V, et al. Application of the Karhunen-Loeve transform temporal image filter to reduce noise in real-time cardiac cine MRI[J]. Phys Med Biol, 2009, 54(12):3909-3922.
6. PEDNEKAR A, KURKURE U, MUTHUPILLAI R, et al. Automated left ventricular segmentation in cardiac MRI[J]. IEEE Trans Biomed Eng, 2006, 53(7):1425-1428.
7. LIN Xiang, COWAN B R, YOUNG A A. Automated detection of left ventricle in 4D Mr images:experience from a large study[J]. Med Image Comput Comput Assist Interv, 2006, 9(Pt 1):728-735.
8. JOLLY M P. Automatic recovery of the left ventricular blood pool in cardiac Cine Mr images[C]//MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION-MICCAI 2008, PT I, PROCEEDINGS, 5241, 2008:110-118.
9. LU Y, PADAU P, CONNELLY K A, et al. Automated segmentation of left ventricle in Cine cardiac MR images:experience from a large study[C]//Proc. Intl. Soc. Mag. Reson. Med, 2010(18).
10. DHARANIBAI G, RAINA J P. Automatic localization and segmentation of left ventricle from short axis Cine MR images:an image driven method[J]. Soft Computing Techniques in Vision Science, 2012, 395:87-99.
11. OTSU N. A threshold selection method from Gray-Level histograms[J]. Systems, Man and Cybernetics, IEEE Transactions on. 1979, 9(1):62-66.

Journal of Biomedical Engineering

Research of Left Ventricle Function Analysis Using Real-time Cardiac Magnetic Resonance Imaging

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