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http://dx.doi.org/10.13104/jksmrm.2014.18.3.244

Cardiac Magnetic Resonance Imaging Using Multi-physiological Intelligent Trigger System  

Park, Jinho (Department of Electrical Engineering, Kwangwoon University)
Yoon, Jong-Hyun (Department of Electrical Engineering, Kwangwoon University)
Yang, Young-Joong (Department of Electrical Engineering, Kwangwoon University)
Ahn, Chang-Beom (Department of Electrical Engineering, Kwangwoon University)
Publication Information
Investigative Magnetic Resonance Imaging / v.18, no.3, 2014 , pp. 244-252 More about this Journal
Abstract
Purpose : We proposed a multi-physiological signals based real-time intelligent triggering system(MITS) for Cardiac MRI. Induced noise of the system was analyzed. Materials and Methods: MITS makes cardiac MR imaging sequence synchronize to the cardiac motion using ECG, respiratory signal and second order derivative of $SPO_2$signal. Abnormal peaks due to arrhythmia or subject's motion are rejected using the average R-R intervals and R-peak values. Induced eddy currents by gradients switching in cardiac MR imaging are analyzed. The induced eddy currents were removed by hardware and software filters. Results: Cardiac MR images that synchronized to the cardiac and respiratory motion are acquired using MITS successfully without artifacts caused by induced eddy currents of gradient switching or subject's motion or arrhythmia. We showed that the second order derivative of the $SPO_2$ signal can be used as a complement to the ECG signals. Conclusion: The proposed system performs cardiac and respiratory gating with multi-physiological signals in real time. During the cardiac gating, induced noise caused by eddy currents is removed. False triggers due to subject's motion or arrhythmia are rejected. The cardiac MR imaging with free breathing is obtained using MITS.
Keywords
Multi-physiological Intelligent Trigger System (MITS); Cardiac MRI; ECG gating; $SPO_2$ gating; Respiratory gating;
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1 Laudon MK, Webster JG, Frayne R, Grist TM. Minimizing interference from magnetic resonance imagers during electrocardiography. IEEE Trans Biomed Eng 1998;45:160-164   DOI
2 Ahn CB, Kim PK. Method and apparatus for detecting feature points using distribution of feature points in second derivative of photoplethysmogram waveform. Korean Patent 2011;10-1036233
3 Worthley SG, Helft G, Fayad ZA, et al. Cardiac gated breathhold black blood MRI of the coronary artery wall: an in vivo and ex vivo comparison. Int J Cardiovasc Imaging 2001;17:195-201   DOI
4 Hofman MB, Paschal CB, Li D, Haacke EM, van Rossum AC, Sprenger M. MRI of coronary arteries: 2D breath-hold vs 3D respiratory-gated acquisition. J Comput Assist Tomogr 1995;19:56-62   DOI   ScienceOn
5 Ulvi H, Yoldas T, Yigiter R, Mungen B. R-R interval variation and the sympathetic skin response in the assessment of the autonomic nervous system in leprosy patients. Acta Neurol Scand 2003;107:42-49
6 Vivian S. Cardiovascular MRI: Physical Principles to Practical Protocols. Philadelphia: Lippincott Williams & Wilkins 2006:257-265
7 Moghari, MH, Roujol S, Chan RH, et al. Free-breathing 3D cardiac MRI using iterative image-based respiratory motion correction. Magn Reson Med 2013;70:1005-1015   DOI
8 Kaus MR, Berg JV, Weese J, Niessen W, Pekar V. Automated segmentation of the left ventricle in cardiac MRI. Med Imag Anal 2004;8:245-254   DOI   ScienceOn
9 Amparo EG, Higgins CB, Farmer D, Gamsu G, McNamara M. Gated MRI of cardiac and paracardiac masses: initial experience. AJR Am J Roentgenol 1984;143:1151-1156   DOI   ScienceOn
10 Yang YJ, Park J, Hong HJ, Ahn CB. Multi-biological Signalbased Smart Trigger System for Cardiac MRI. Trans KIEE to be published, 2014
11 Pang J, Bhat H, Sharif B, et al. Whole-heart coronary MRA with 100% respiratory gating efficiency: Self-navigated threedimensional retrospective image-based motion correction (TRIM). Magn Reson Med 2014;71:67-74   DOI
12 Vaninbroukx J, Bosmans H, Sunaert S, et al. The use of ECG and respiratory triggering to improve the sensitivity of oxygenenhanced proton MRI of lung ventilation. Eur Radiol 2003;13:1260-1265
13 Li XA, Stepaniak C, Gore E. Technical and dosimetric aspects of respiratory gating using a pressure-sensor motion monitoring system. Med Phys 2006;33:145-154   DOI   ScienceOn
14 Kandpal H, Sharma R, Madhusudhan KS, Kapoor KS. Respiratory-triggered versus breath-hold diffusion-weighted MRI of liver lesions: comparison of image quality and apparent diffusion coefficient values. AJR Am J Roentgenol 2009;192:915-922   DOI   ScienceOn
15 Udupa JK, Murthy IS. Syntactic approach to ECG rhythm analysis. IEEE Trans Biomed Eng 1980;27:370-375
16 Chang KM. Arrhythmia ECG noise reduction by ensemble empirical mode decomposition. Sensors 2010;10:6063-6080   DOI
17 Wiesmann F, Szimtenings M, Frydrychowicz A, et al. Highresolution MRI with cardiac and respiratory gating allows for accurate in vivo atherosclerotic plaque visualization in the murine aortic arch. Magn Reson Med 2003;50:69-74   DOI