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    • MRI Simulation-based evaluation of an efficient under-sampling approach
    Authors: Anh, Quang Tran; Tien, Anh Nguyen; Van, Tu Duong; Quang, Huy Tran; Duc, Nghia Tran; Duc, Tan Tran;  Advisor: -;  Co-Author: - (2020)

    Compressive sampling (CS) has been commonly employed in the field of magnetic resonance imaging (MRI) to accurately reconstruct sparse and compressive signals. In a MR image, a large amount of encoded information focuses on the origin of the k-space. For the 2D Cartesian K-space MRI, under-sampling the frequency-encoding (kx) dimension does not affect to the acquisition time, thus, only the phase-encoding (ky) dimension can be exploited. In the traditional random under-sampling approach, it acquired Gaussian random measurements along the phaseencoding (ky) in the k-space. In this paper, we proposed a hybrid under-sampling approach; the number of measurements in (ky) is divided i...