title: Full-frame transform compression of CT and MR images.
abstract: Compression algorithms based on full-frame discrete cosine transforms have achieved compression ratios as high as 10:1 to 20:1 with almost imperceptible image degradation, when applied to projection radiographs digitized with 2,048 X 2,048 X 8-bit matrices. Compared with such radiographs, images obtained with computed tomography (CT) and magnetic resonance (MR) are smaller in size, have lower signal-to-noise ratios, and, in the case of CT, have a larger dynamic range. These differences result in qualitatively different spectral properties. The authors studied the efficiency of the full-frame technique when applied to CT and MR images. They achieved excellent results, with compression ratios in the neighborhood of 5:1. The study was performed with the use of a hardware implementation of the authors' algorithm, which can compress a 512 X 512 X 12-bit image in less than 1.5 seconds.
authors.affiliation: Department of Radiological Sciences, University of California, Los Angeles 90024.
authors.forename: K K
authors.initials: KK
authors.lastname: Chan
authors.forename: S L
authors.initials: SL
authors.lastname: Lou
authors.forename: H K
authors.initials: HK
authors.lastname: Huang
mesh_terms: D000465:Algorithms; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*