title: An efficient algorithm for MR image reconstruction and compression.
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 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.
authors: School of Electrical Engineering, University of Sydney, NSW, Australia.
authors: H
authors: H
authors: Wang
authors: D
authors: D
authors: Rosenfeld
authors: M
authors: M
authors: Braun
authors: H
authors: H
authors: Yan
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D008954:Models, Biological