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In magnetic resonance imaging (MRI), the k-space or reciprocal space (a mathematical space of spatial frequencies) is obtained as the 2D or 3D Fourier transform of the image measured. It was introduced in 1979 by Likes [1] and in 1983 by Ljunggren [2] and Twieg.
1 de ene. de 2008 · The k -space represents the spatial frequency information in two or three dimensions of an object. The k -space is defined by the space covered by the phase and frequency encoding data. The relationship between k -space data and image data is the Fourier transformation.
Learn what k-space is, how it relates to the MR image, and how it is used in MRI. Find simple definitions, examples, references, and related questions on k-space.
15 de ago. de 2020 · This is a basic introduction to k-Space for beginners covering spatial frequency, Fourier transform, k-space properties, and different k-space trajectories.
23 de abr. de 2024 · k-space is an abstract concept and refers to a data matrix containing the raw MRI data. This data is subjected to mathematical function or formula called a transform to generate the final image.
K-space. K-space or k-space can refer to: Another name for the spatial frequency domain of a spatial Fourier transform. Reciprocal space, containing the reciprocal lattice of a spatial lattice. Momentum space, or wavevector space, the vector space of possible values of momentum for a particle.
What is k-space and how is it related to gradients? We’ll start by reviewing what we’ve already covered about gradients and how they’re used for slice selection, and how they’re used to create gradient echos.
