title: Information preserving image compression for archiving NMR images.
abstract: This paper presents a result on information preserving compression of NMR images for the archiving purpose. Both Lynch-Davisson coding and linear predictive coding have been studied. For NMR images of 256 x 256 x 12 resolution, the Lynch-Davisson coding with a block size of 64 as applied to prediction error sequences in the Gray code bit planes of each image gave an average compression ratio of 2.3:1 for 14 testing images. The predictive coding with a third order linear predictor and the Huffman encoding of the prediction error gave an average compression ratio of 3.1:1 for 54 images under test, while the maximum compression ratio achieved was 3.8:1. This result is one step further toward the improvement, albeit small, of the information preserving image compression for medical applications.
authors.affiliation: Department of Electrical Engineering, University of Pittsburgh, PA 15261.
authors.forename: C C
authors.initials: CC
authors.lastname: Li
authors.forename: M
authors.initials: M
authors.lastname: Gokmen
authors.forename: A D
authors.initials: AD
authors.lastname: Hirschman
authors.forename: Y
authors.initials: Y
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D007091:Image Processing, Computer-Assisted; D009682:Magnetic Resonance Spectroscopy; D011873:Radiology Information Systems