Abstract
We present a systematic approach to generate pixel-wise parametric maps from contrast-enhanced MR myocardial perfusion images. A surface coil intensity correction algorithm is used to compensate the myocardial intensity inhomogeneity. Non-linear intensity normalization is applied to color encode the pixel intensity. The preliminary result shows our technique is valuable in differentiating perfusion defects within myocardial regions of interest.
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Panting, J.R., et al.: Echo-Planar Magnetic Resonance Myocardial Perfusion Imaging: Parametric Map Analysis and Comparison with Thallium SPECT. J. Magnetic Resonance Imaging 13, 192–200 (2001)
Klocke, F.J., et al.: Limits of Detection of Regional Differences in Vasodilated Flow in Viable Myocardium by First-Pass Magnetic Resonance Perfusion Imaging. Circulation 104, 2412–2416 (2001)
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© 2003 Springer-Verlag Berlin Heidelberg
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Hsu, Ly., Rhoads, K.L., Aletras, A.H., Arai, A.E. (2003). Surface Coil Intensity Correction and Non-linear Intensity Normalization Improve Pixel-Resolution Parametric Maps of Myocardial MRI Perfusion. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_130
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DOI: https://doi.org/10.1007/978-3-540-39903-2_130
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20464-0
Online ISBN: 978-3-540-39903-2
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