Literature DB >> 8292643

Displaying radiologic images on personal computers: image storage and compression: Part 1.

T Gillespy1, A H Rowberg.   

Abstract

This is the third article of our series for radiologists and imaging scientists on displaying, manipulating, and analyzing radiologic images on personal computers. Part 1 of this article discusses image storage and reviews the basic concepts of information theory and image compression; part 2 will discuss specific methods of image compression. There are a wide variety of removable storage devices available to users who need to archive radiologic images on their personal computers. Tape drives have potentially very large storage capacity but slow performance. Removable SyQuest (SyQuest Technology, Femont, CA) and Bernoulli disks have near hard disk performance and can store from 100 to 150 Mbytes. Magneto-optical drives can store nearly 1 Gb on a 5.25" disk, with somewhat slower performance. Selecting the most appropriate storage solution requires a careful balance of the user's requirements, including performance, storage needs, cost and compatibility with other users. Despite the advances in low cost high capacity storage technology, image compression remains a crucial technology for modern diagnostic radiology because digital images require such large amounts of storage. Image compression is possible because radiologic images have relatively low entropy (high information content) compared with random noise. Image compression is classified as lossless (nondestructive) or lossy (destructive). Lossless image compression commonly achieve compression ratios of 1.5:1 to 3:1 (33% to 67%), whereas lossy compression can compresses images from 3:1 to 30:1 (67% to 97%).(ABSTRACT TRUNCATED AT 250 WORDS)

Mesh:

Year:  1993        PMID: 8292643     DOI: 10.1007/BF03168527

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  1 in total

1.  Image compression techniques for medical diagnostic imaging systems.

Authors:  M Rabbani; P W Jones
Journal:  J Digit Imaging       Date:  1991-05       Impact factor: 4.056

  1 in total
  4 in total

1.  Wavelet compression on detection of brain lesions with magnetic resonance imaging.

Authors:  S Terae; K Miyasaka; K Kudoh; T Nambu; T Shimizu; K Kaneko; H Yoshikawa; R Kishimoto; T Omatsu; N Fujita
Journal:  J Digit Imaging       Date:  2000-11       Impact factor: 4.056

2.  Displaying radiologic images on personal computers: practical applications and uses.

Authors:  T Gillespy; M L Richardson; A H Rowberg
Journal:  J Digit Imaging       Date:  1994-08       Impact factor: 4.056

3.  Image data compression.

Authors:  M A Goldberg
Journal:  J Digit Imaging       Date:  1997-08       Impact factor: 4.056

4.  Displaying radiologic images on personal computers: image processing and analysis.

Authors:  T Gillespy; A H Rowberg
Journal:  J Digit Imaging       Date:  1994-05       Impact factor: 4.056

  4 in total

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