Compression and reconstruction of MRI images using 2D DCT

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Author(s)

  • Hang Wang
  • Dov Rosenfeld
  • Michael Braun
  • Hong Yan

Detail(s)

Original languageEnglish
Pages (from-to)427-432
Journal / PublicationMagnetic Resonance Imaging
Volume10
Issue number3
Publication statusPublished - 1992
Externally publishedYes

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0026780081&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(d384a11b-54ca-4938-ab14-21802d8bc144).html

Abstract

In magnetic resonance imaging (MRI), the original data are sampled in the spatial frequency domain. The sampled data thus constitute a set of discrete Fourier transform (DFT) coefficients. The image is usually reconstructed by taking inverse DFT. The image data may then be compressed using the discrete cosine transform (DCT). We present here a method of treating the data that combines two procedures, image reconstruction and data compression. This method may be particularly useful in medical picture archiving and communication systems (PACS) where both image reconstruction and compression are important issues. © 1992.

Research Area(s)

  • Data compression, DCT transform, MR imaging

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Publication fingerprints text

100
images INIS
100
data INIS
100
compression INIS
100
nmr imaging INIS
100
Image Reconstructio... Engineering
100
Transform Engineering
100
Images Engineering
100
Image Data Keyphrases
100
Two-dimensional Dis... Keyphrases
100
Magnetic Resonance ... Keyphrases
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Citation Format(s)

[ RIS ] [ BibTeX ]
Compression and reconstruction of MRI images using 2D DCT. / Wang, Hang; Rosenfeld, Dov; Braun, Michael et al.
In: Magnetic Resonance Imaging, Vol. 10, No. 3, 1992, p. 427-432.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review