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Partial Fourier Reconstruction in MRI
Abdulaziz A. Al-Haidari
Magnetic Resonance Imaging (MRI) is limited by the time needed for imaging. Partial Fourier (PF) is a way for reconstructing the image by using a lesser data, and hence shorten imaging time. The current PF techniques suffers from artifacts in the reconstructed image due to the presence of non-linear phase errors in MRI raw data. The current paper illustrates how an optimization in PF algorithm, like PoCs, is feasible through enhancing truncation and merging filters. The outcomes were evaluated through a quantitative and a qualitative criteria, and showed a better results.
Keywords- MRI, partial reconstruction, windowing, optimization, PoCs.
Unique Identification Number - IJEDR1904093Page Number(s) - 522-525Pubished in - Volume 7 | Issue 4 | December 2019DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Abdulaziz A. Al-Haidari,   "Partial Fourier Reconstruction in MRI"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 4, pp.522-525, December 2019, Available at :http://www.ijedr.org/papers/IJEDR1904093.pdf