Literature DB >> 23456043

[Irreversible image compression in radiology. Current status].

D Pinto dos Santos1, F Jungmann, C Friese, C Düber, P Mildenberger.   

Abstract

Due to increasing amounts of data in radiology methods for image compression appear both economically and technically interesting. Irreversible image compression allows markedly higher reduction of data volume in comparison with reversible compression algorithms but is, however, accompanied by a certain amount of mathematical and visual loss of information. Various national and international radiological societies have published recommendations for the use of irreversible image compression. The degree of acceptable compression varies across modalities and regions of interest.The DICOM standard supports JPEG, which achieves compression through tiling, DCT/DWT and quantization. Although mathematical loss due to rounding up errors and reduction of high frequency information occurs this results in relatively low visual degradation.It is still unclear where to implement irreversible compression in the radiological workflow as only few studies analyzed the impact of irreversible compression on specialized image postprocessing. As long as this is within the limits recommended by the German Radiological Society irreversible image compression could be implemented directly at the imaging modality as it would comply with § 28 of the roentgen act (RöV).

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Year:  2013        PMID: 23456043     DOI: 10.1007/s00117-013-2476-7

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  5 in total

1.  [Compression of digital images in radiology - results of a consensus conference].

Authors:  R Loose; R Braunschweig; E Kotter; P Mildenberger; R Simmler; M Wucherer
Journal:  Rofo       Date:  2008-12-29

2.  Pan-Canadian evaluation of irreversible compression ratios ("lossy" compression) for development of national guidelines.

Authors:  David Koff; Peter Bak; Paul Brownrigg; Danoush Hosseinzadeh; April Khademi; Alex Kiss; Luigi Lepanto; Tracy Michalak; Harry Shulman; Andrew Volkening
Journal:  J Digit Imaging       Date:  2008-10-18       Impact factor: 4.056

3.  Image explosion. In the wake of modality advances, CIOs must please radiologists, store huge amounts of data, and not lose sight of the bottom line.

Authors:  Mark Hagland
Journal:  Healthc Inform       Date:  2009-08

Review 4.  Image data compression in diagnostic imaging: international literature review and workflow recommendation.

Authors:  R Braunschweig; I Kaden; J Schwarzer; C Sprengel; K Klose
Journal:  Rofo       Date:  2009-06-09

5.  Usability of irreversible image compression in radiological imaging. A position paper by the European Society of Radiology (ESR).

Authors: 
Journal:  Insights Imaging       Date:  2011-02-14
  5 in total
  1 in total

1.  [Teleradiology - update 2014].

Authors:  D Pinto dos Santos; J-M Hempel; R Kloeckner; C Düber; P Mildenberger
Journal:  Radiologe       Date:  2014-05       Impact factor: 0.635

  1 in total

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