1991
DOI: 10.1109/42.97598
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Selection of a convolution function for Fourier inversion using gridding (computerised tomography application)

Abstract: In fields ranging from radio astronomy to magnetic resonance imaging, Fourier inversion of data not falling on a Cartesian grid has been a prbblem. As a result, multiple algorithms have been created for reconstructing images from nonuniform frequency samples. In the technique known as gridding, the data samples are weighted for sampling density and convolved with a finite kernel, then resampled on a grid preparatory to a fast Fourier transform. This paper compares the utility of several convolution functions, … Show more

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Cited by 981 publications
(945 citation statements)
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References 16 publications
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“…This is necessary to avoid spatial blurring for off‐resonant signals. Gridding 39 using a Kaiser‐Bessel kernel (kernel width of 3) was performed with an overgridding factor of 2. After gridding, the data were spatially Fourier transformed and cropped to the intended FOV.…”
Section: Methodsmentioning
confidence: 99%
“…This is necessary to avoid spatial blurring for off‐resonant signals. Gridding 39 using a Kaiser‐Bessel kernel (kernel width of 3) was performed with an overgridding factor of 2. After gridding, the data were spatially Fourier transformed and cropped to the intended FOV.…”
Section: Methodsmentioning
confidence: 99%
“…Images were acquired using a double-resonant (32.59 MHz/123.2 MHz) birdcage coil (Rapid Biomed GmbH, Wü rzburg, Germany) and were reconstructed offline with Matlab (Mathworks, Natick, MA). The k-space data were regridded with an oversampling ratio of 2 using a Kaiser-Bessel kernel (25) and Fourier transformed by a conventional fast Fourier transform (FFT) without filtering.…”
Section: Sequence Designmentioning
confidence: 99%
“…All raw-data for the spiral sequence was re-gridded to a 512 Â 512 matrix and reconstructed off line using an in-house Matlab (Mathworks, Natick, MA) program based on Jackson et al (40) and Bernstein et al (41). A sliding data window (42) was applied taking the four most recent interleaved spiral readouts for reconstruction, which allowed the time between images to be reduced from the 318 ms of truly independent velocity images down to 79.56 ms. ''Swirl'' artifacts were expected to arise from flow variability between interleaves (31,43), especially from incomplete suppression of arterial blood.…”
Section: Non-gated Interleaved Spirals (Isp)mentioning
confidence: 99%