To discuss acquisition techniques and image reconstruction algorithms used in parallel MRI, the concepts of k-space and of the Fourier transform introduced in this chapter are indispensable. Based on these concepts, parallel imaging from its historic origins to current state-of-the-art techniques is...
It doesn't have to be. At its core k-space can be defined in simple terms: k-space is an array of numbers representing spatial frequencies in the MR image. 对于许多同学而言,k 空间是一个令人“恐惧”与困惑的概念。然而完全没有必要如此。k 空间的核心可以简单地描述成下面一句话: k 空间是一...
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Compressed sensing (CS) utilizes the sparsity of magnetic resonance (MR) images to enable accurate reconstruction from undersampled k-space data. Recent CS methods have employed analytical sparsifying transforms such as wavelets, curvelets, and finite differences. In this paper, we propose a novel ...
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90° RF pulse + Slice-selection gradient : location at origin (center) of k-space Negative and strong phase-encoding gradient: moves to the lower bound of k-space Positive frequency-encoding gradient (dephasing lobe): moves to the right bound, location at the lower right corner ...
The experimental distribution of high-energy ARPES intensity over sufficiently large volume of the (Kx,Ky,Kz) space will in principle allow, notwithstanding the phase problem, a full reconstruction of\(\Phi _{{\mathrm{QWS}}}(x,y,z)\)in all three spatial coordinates, similar to the reconstru...
('--ratio',type=float,required=True,help='The image is cropped in the middle of the k-space space to preserve the proportion')args=parser.parse_args()# 初始化这个,-h才有显示input_dir=args.input# /data/yuzun/stytr_008_SE10_out_256output_dir=args.output# /data/yuzun/stytr...
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