1995
DOI: 10.1148/radiology.195.2.7724743
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A perspective on K-space.

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Cited by 126 publications
(46 citation statements)
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“…This work was later expanded upon to describe diffraction tomography in general [3]. K-space has also been used to analyze magnetic resonance imaging systems [4]. The application of k-space to this modality is natural because data are acquired as points in k-space and must be Fourier transformed to yield an image.…”
Section: Introductionmentioning
confidence: 99%
“…This work was later expanded upon to describe diffraction tomography in general [3]. K-space has also been used to analyze magnetic resonance imaging systems [4]. The application of k-space to this modality is natural because data are acquired as points in k-space and must be Fourier transformed to yield an image.…”
Section: Introductionmentioning
confidence: 99%
“…The center of k-space contains the low spatial frequency data that give images their overall shape and contrast [15]. The periphery of k-space contains the high frequency data, which represent edges in an image.…”
Section: Discussionmentioning
confidence: 99%
“…Data is sampled in MRI in a data matrix or k-space (Twieg 1983;Mezrich 1995). Every point therein contains part of the information for the complete image upon inverse Fourier transformation.…”
Section: Scan Time As a Source Of Pitfallsmentioning
confidence: 99%