Literature DB >> 2070005

Image compression techniques for medical diagnostic imaging systems.

M Rabbani1, P W Jones.   

Abstract

As a result of recent technological advances, a significant (and increasing) number of the images in a typical radiology department are represented in digital form. This includes images that have been captured using digital imaging modalities such as computed tomography and magnetic resonance imaging as well as images that have been digitally converted from film originals as in computed radiography. To provide economical storage of such images and to allow for their efficient transmission over various networks, it becomes necessary to consider digital image compression techniques. In this article, the fundamental concepts of several popular reversible and nonreversible image compression schemes are reviewed. In addition, the performance of the schemes in terms of compression ratio and reconstructed image quality as applied to medical diagnostic images is investigated.

Mesh:

Year:  1991        PMID: 2070005     DOI: 10.1007/BF03170414

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


  1 in total

1.  Reversible intraframe compression of medical images.

Authors:  P Roos; M A Viergever; M A van Dijke; J H Peters
Journal:  IEEE Trans Med Imaging       Date:  1988       Impact factor: 10.048

  1 in total
  7 in total

1.  Realistic viewing and manipulation of radiographic images on a personal computer--a user interface for educational applications.

Authors:  L D Stein; J Snydr-Michal; R A Greenes
Journal:  J Digit Imaging       Date:  1991-08       Impact factor: 4.056

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

Authors:  T Gillespy; A H Rowberg
Journal:  J Digit Imaging       Date:  1993-11       Impact factor: 4.056

Review 3.  Displaying radiologic images on personal computers: image storage and compression--Part 2.

Authors:  T Gillespy; A H Rowberg
Journal:  J Digit Imaging       Date:  1994-02       Impact factor: 4.056

4.  Building a medical multimedia database system to integrate clinical information: an application of high-performance computing and communications technology.

Authors:  H J Lowe; B G Buchanan; G F Cooper; J K Vries
Journal:  Bull Med Libr Assoc       Date:  1995-01

5.  Comparative study of computational visual attention models on two-dimensional medical images.

Authors:  Gezheng Wen; Brenda Rodriguez-Niño; Furkan Y Pecen; David J Vining; Naveen Garg; Mia K Markey
Journal:  J Med Imaging (Bellingham)       Date:  2017-05-10

6.  Which media are most likely to solve the archival problem?

Authors:  J T Cusma; D F Fortin; L A Spero; B R Groshong; T M Bashore
Journal:  Int J Card Imaging       Date:  1994-09

7.  The effects of image compression on quantitative measurements of digital panoramic radiographs.

Authors:  Füsun Yasar; Burcu Apaydin; Hasan-Hüseyin Yilmaz
Journal:  Med Oral Patol Oral Cir Bucal       Date:  2012-11-01
  7 in total

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