Abstract
Magnetic resonance (MR) images can be acquired by multiple receiver coil systems to improve signal-to-noise ratio (SNR) and to decrease acquisition time. The optimal SNR images can be reconstructed from the coil data when the coil sensitivities are known. In typical MR imaging studies, the information about coil sensitivity profiles is not available. In such cases the sum-of-squares (SoS) reconstruction algorithm is usually applied. The intensity of the SoS reconstructed image is modulated by a spatially variable function due to the non-uniformity of coil sensitivities. Additionally, the SoS images also have sub-optimal SNR and bias in image intensity. All these effects might introduce errors when quantitative analysis and/or tissue segmentation are performed on the SoS reconstructed images. In this paper, we present an iterative algorithm for coil sensitivity estimation and demonstrate its applicability for optimal SNR reconstruction and intensity inhomogeneity correction in phased array MR imaging.
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References
Roemer, P.B., Edelstein, W.A., Hayes, C.E., Souza, S.P., Mueller, O.M.: The NMR Phased-Array. Magnetic Resonance in Medicine 16, 192–225 (1990)
Murakami, J.W., Hayes, C.E., Weinberger, E.: Intensity Correction of Phased-Array Sur-face Coil Images. Magnetic Resonance in Medicine 35, 585–590 (1996)
Meyer, C.R., Bland, P.H., Pipe, J.: Retrospective Correction of Intensity Inhomogeneities in MRI. IEEE Transactions on Medical Imaging 14, 36–41 (1995)
Sled, J.G., Zijdenbos, A.P., Evans, A.C.: A Nonparametric Method for Automatic Correc-tion of Intensity Non-uniformity in MRI data. IEEE Transactions on Medical Imaging 17, 87–97 (1998)
Han, C., Hatsukami, T.S., Yuan, C.: A Multi-scale Method for Automatic Correction of In-tensity Non-Uniformity in MR Images. Journal of Magnetic Resonance Imaging 13, 428–436 (2001)
Vokurka, E.A., Thacker, N.A., Jackson, A.: A Fast Model Independent Method for Auto-matic Correction of Intensity Non-uniformity in MRI Data. Journal of Magnetic Reso-nance Imaging 10, 550–562 (1999)
Smythe, W.R.: Static and Dynamic Electricity. McGraw Hill, New York (1968)
Gudbjartsson, H., Patz, P.: The Rician Distribution of Noisy MRI Data. Magnetic Reso-nance in Medicine 34, 910–914 (1995)
Ahn, C.B., Cho, Z.H.: A New Phase Correction Method in NMR Imaging Based on Auto-correlation and Histogram Analysis. IEEE Transactions on Medical Imaging 6, 32–36 (1987)
Pruessmann, K.P., Weiger, M., Scheidegger, M.B., Boesiger, P.: SENSE: Sensitivity En-coding for Fast MRI. Magnetic Resonance in Medicine 42, 952–962 (1999)
Liang, Z., MacFall, J.R., Harrington, D.P.: Parameter Estimation and Tissue Segmentation from Multispectral MR images. IEEE Transactions on Medical Imaging 13, 441–449 (1994)
Wells, W.M., Grimson, W.E.L., Kikinis, R., Jolesz, F.A.: Adaptive Segmentation of MRI Data. IEEE Transactions on Medical Imaging 15, 429–442 (1996)
Wilson, D.L., Noble, J.A.: An Adaptive Segmentation Algorithm of Time-of-flight MRA Data. IEEE Transactions on Medical Imaging 18, 938–945 (1999)
Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T.: Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, New York (1996)
Kim, S.E., Kholmovski, E.G., Jeong, E.K., Buswell, H.R., Tsuruda, J.S., Parker, D.L.: Tri-ple Contrast Technique for Black Blood Imaging with Double Inversion Preparation. Mag-netic Resonance in Medicine 52, 1379–1387 (2004)
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Vemuri, P., Kholmovski, E.G., Parker, D.L., Chapman, B.E. (2005). Coil Sensitivity Estimation for Optimal SNR Reconstruction and Intensity Inhomogeneity Correction in Phased Array MR Imaging. In: Christensen, G.E., Sonka, M. (eds) Information Processing in Medical Imaging. IPMI 2005. Lecture Notes in Computer Science, vol 3565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11505730_50
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DOI: https://doi.org/10.1007/11505730_50
Publisher Name: Springer, Berlin, Heidelberg
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