Abstract
First-pass cardiac MR perfusion (CMRP) imaging allows identification of hypo-perfused areas in the myocardium and therefore helps in early detection of coronary artery disease (CAD). However, its efficacy is often limited by respiratory motion artifacts, especially in stress-induced sequences. These distortions lead to unreliable estimates of perfusion linked parameters, such as the myocardial perfusion reserve index (MPRI). We propose a novel, robust motion correction method that suppresses motion artifacts in the frequency domain. The method is validated using rest and stress perfusion datasets of 10 patients and is compared to a state-of-the-art independent component analysis based method. Contrary to the latter, the proposed method reduces the remaining motion to less than the pixel size and allows the reliable computation of the MPRI. The strong agreement between perfusion parameters based on expert contours and after applying the proposed method enables the near-automated quantitative analyses of stress MR perfusion sequences in a clinical setting.
Keywords
- Cardiovascular Magnetic Resonance
- Motion Artifact
- Motion Correction
- Independent Component Analysis
- Perfusion Parameter
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Kaandorp, T., Lamb, H., Bax, J., van der Wall, E., de Roos, A.: Magnetic resonance imaging of coronary arteries, the ischemic cascade, and myocardial infarction. American Heart Journal 149(2), 200–208 (2005)
Al-Saadi, N., Gross, M., Bornstedt, A., Schnackenburg, B., Klein, C., Fleck, E., Nagel, E.: Comparison of various parameters for determining an index of myocardial perfusion reserve in detecting coronary stenosis with cardiovascular magnetic resonance tomography. Zeitschrift für Kardiologie 90(11), 824 (2001)
Jerosch-Herold, M., Seethamraju, R., Swingen, C., Wilke, N., Stillman, A.: Analysis of myocardial perfusion MRI. Journal of Magnetic Resonance Imaging 19(6), 758–770 (2004)
McLeish, K., Hill, D., Atkinson, D., Blackall, J., Razavi, R.: A study of the motion and deformation of the heart due to respiration. IEEE Transactions on Medical Imaging 21(9), 1142–1150 (2002)
Gupta, V., Kirişli, H.A., Hendriks, E.A., van der Geest, R.J., van de Giessen, M., Niessen, W., Reiber, J.H.C., Lelieveldt, B.P.F.: Cardiac MR perfusion image processing techniques: A survey. Medical Image Analysis 16(4), 767–785
Milles, J., van der Geest, R.J., Jerosch-Herold, M., Reiber, J.H.C., Lelieveldt, B.P.F.: Fully automated motion correction in first-pass myocardial perfusion MR image sequences. IEEE Transactions on Medical Imaging 27(11), 1611–1621 (2008)
Gupta, V., Hendriks, E.A., Milles, J., van der Geest, R.J., Jerosch-Herold, M., Reiber, J.H.C., Lelieveldt, B.P.F.: Fully Automatic Registration and Segmentation of First-Pass Myocardial Perfusion MR Image Sequences. Academic Radiology 17(11), 1375–1385 (2010)
Wollny, G., Ledesma-Carbayo, M.J., Kellman, P., Santos, A.: Exploiting quasiperiodicity in motion correction of free-breathing myocardial perfusion MRI. IEEE Transactions on Medical Imaging 29(8), 1516–1527 (2010)
Van der Geest, R.J., Lelieveldt, B.P.F., Angelie, E., Danilouchkine, M., Sonka, M., Reiber, J.H.C.: Evaluation of a new method for automated detection of left ventricular contours in time series of Magnetic Resonance Images using an Active Appearance Motion Mode. Journal of Cardiovascular Magnetic Resonance 6(3), 609–617 (2004)
Xue, H., Guehring, J., Srinivasan, L., Zuehlsdorff, S., Saddi, K., Chefdhotel, C., Hajnal, J.V., Rueckert, D.: Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 35–43. Springer, Heidelberg (2008)
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Gupta, V., van de Giessen, M., Kirişli, H., Kirschbaum, S.W., Niessen, W.J., Lelieveldt, B.P.F. (2012). Robust Motion Correction in the Frequency Domain of Cardiac MR Stress Perfusion Sequences. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33415-3_82
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DOI: https://doi.org/10.1007/978-3-642-33415-3_82
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