Abstract
Purpose
Tagged and cine magnetic resonance imaging (tMRI and cMRI) techniques are used for evaluating regional and global heart function, respectively. Measuring global function parameters directly from tMRI is challenging due to the obstruction of the anatomical structure by the tagging pattern. The purpose of this study was to develop a method for processing the tMRI images to improve the myocardium-blood contrast in order to estimate global function parameters from the processed images.
Materials and methods
The developed method consists of two stages: (1) removing the tagging pattern based on analyzing and modeling the signal distribution in the image’s k-space, and (2) enhancing the blood-myocardium contrast based on analyzing the signal intensity variability in the two tissues. The developed method is implemented on images from twelve human subjects.
Results
Ventricular mass measured with the developed method showed good agreement with that measured from gold-standard cMRI images. Further, preliminary results on measuring ventricular volume using the developed method are presented.
Conclusion
The promising results in this study show the potential of the developed method for evaluating both regional and global heart function from a single set of tMRI images, with associated reduction in scan time and patient discomfort.
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References
Dornier C, Somsen GA, Ivancevic MK, Osman NF, Didier D, Righetti A, et al. Comparison between tagged MRI and standard cine MRI for evaluation of left ventricular ejection fraction. Eur Radiol. 2004;14(8):1348–52.
Qian Z, Huang R, Metaxas DN, Axel L. A novel tag removal technique for tagged cardiac MRI and its applications. Biomedical imaging: from nano to macro, 2007. ISBI 2007. 4th IEEE international symposium on. Arlington; 2007. pp. 364–367.
Sayed MR, Fahmy AS. Evaluation of the cardiac global function from tagged magnetic resonance images F. Imaging and Signal Processing in Healthcare and Technology (ISPHT) Conference: IASTED. Baltimore; 2012.
El-Rewaidy H, Khalifa A, Fahmy AS. Accurate estimation of the myocardium global function from reduced magnetic resonance image acquisitions. In: Conference proceedings: annual international conference of the IEEE engineering in medicine and biology society. IEEE engineering in medicine and biology society annual conference 2014; 2014. pp. 6728–6731.
Cheng Y. Mean shift, mode seeking, and clustering. IEEE Trans Pattern Anal Mach Intell. 1995;17:790–9.
Thiele H, Paetsch I, Schnackenburg B, Bornstedt A, Grebe O, Wellnhofer E, et al. Improved accuracy of quantitative assessment of left ventricular volume and ejection fraction by geometric models with steady-state free precession. J Cardiovasc Magn Reson. 2002;4(3):327–39.
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The authors declare that they have no conflict of interest.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
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Makram, A.W., Khalifa, A.M., El-Rewaidy, H. et al. Assessment of cardiac mass from tagged magnetic resonance images. Jpn J Radiol 34, 158–165 (2016). https://doi.org/10.1007/s11604-015-0504-4
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DOI: https://doi.org/10.1007/s11604-015-0504-4