TY - JOUR
T1 - Efficient algorithm for MR image reconstruction and compression
AU - Wang, Hang
AU - Rosenfeld, Dov
AU - Braun, Michael
AU - Yan, Hong
PY - 1992/9
Y1 - 1992/9
N2 - 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 efficiently compressed using the discrete cosine transform (DCT). We present here a method of using DCT to treat the sampled data, which 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.
AB - 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 efficiently compressed using the discrete cosine transform (DCT). We present here a method of using DCT to treat the sampled data, which 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.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0026918366&origin=recordpage
M3 - RGC 21 - Publication in refereed journal
C2 - 1471963
SN - 0158-9938
VL - 15
SP - 133
EP - 137
JO - Australasian Physical and Engineering Sciences in Medicine
JF - Australasian Physical and Engineering Sciences in Medicine
IS - 3
ER -