Abstract
Recently, the authors introduced least square quantization table (LSQT) method to accelerate the direct Fourier transform to reconstruct magnetic resonance images acquired using a spiral trajectory. In this paper, we will discuss the LSQT further in its adaptability, reusability and choice of the number of groups. The experimental results show that the LSQT method has better adaptability for the different reconstruction cases than the equal phase line (EPL) and Kaiser-Bessel gridding methods. Additionally, it can be reused for reconstructing different images of varied sizes.
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References
Maeda, A., Sano, K., Yokoyama, T.: Reconstruction by Weighted Correlation for MRI with Time-varying Gradients. IEEE Trans. Med. Imag. 7, 26–31 (1988)
Jackson, J.I., Meyer, C.H., Nishimura, D.G., Macovski, A.: Selection of a Convolution Function for Fourier Inversion Using Griding. IEEE Trans. Med. Imag. 10, 473–478 (1991)
Qian, Y.X., Lin, J.R., Jin, D.Q.: Direct Reconstruction of MR Images From Data Acquired on a Non-Cartesian Grid Using an Equal-Phase-Line Algorithm. Magn. Res. Med. 47, 1228–1233 (2002)
Dale, B., Wendt, M., Duerk, J.L.: A Rapid Look-up Table Method for Reconstructing MR Images from Arbitrary K-space Trajectories. IEEE Trans. Med. Imag. 20, 207–216 (2001)
Liang, D., Lam, E.Y., Fung, G.S.K.: Direct Reconstruction of Spiral MRI using Least Square Quantization Table. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 105–108 (2007)
Liang, D., Lam, E.Y., Fung, G.S.K.: A least square quantization table method for direct reconstruction of MR images with non-Cartesian trajectory. Journal of Magn. Res. 188, 141–150 (2007)
Gersho, A., Gray, R.M.: Vector Quantization and Signal Compression. Kluwer Academic Publishers, Boston (1992)
Shepp, L.A., Logan, B.F.: The Fourier Reconstruction of A Head Section. IEEE Trans. Nucl. Sci. NS-21, 21–43 (1974)
Rosenfeld, D.: An Optimal and Efficient New Griding Algorithm Using Singular Value Decomposition. Magn. Res. Med. 40, 14–23 (1998)
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© 2008 Springer-Verlag Berlin Heidelberg
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Liang, D., Lam, E.Y., Fung, G.S.K., Zhang, X. (2008). Spiral MRI Reconstruction Using Least Square Quantization Table. In: Gao, X., Müller, H., Loomes, M.J., Comley, R., Luo, S. (eds) Medical Imaging and Informatics. MIMI 2007. Lecture Notes in Computer Science, vol 4987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79490-5_35
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DOI: https://doi.org/10.1007/978-3-540-79490-5_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79489-9
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