Literature DB >> 18931879

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

David Koff1, Peter Bak, Paul Brownrigg, Danoush Hosseinzadeh, April Khademi, Alex Kiss, Luigi Lepanto, Tracy Michalak, Harry Shulman, Andrew Volkening.   

Abstract

New technological advancements including multislice CT scanners and functional MRI, have dramatically increased the size and number of digital images generated by medical imaging departments. Despite the fact that the cost of storage is dropping, the savings are largely surpassed by the increasing volume of data being generated. While local area network bandwidth within a hospital is adequate for timely access to imaging data, efficiently moving the data between institutions requires wide area network bandwidth, which has a limited availability at a national level. A solution to address those issues is the use of lossy compression as long as there is no loss of relevant information. The goal of this study was to determine levels at which lossy compression can be confidently used in diagnostic imaging applications. In order to provide a fair assessment of existing compression tools, we tested and compared the two most commonly adopted DISCOM compression algorithms: JPEG and JPEG-2000. We conducted an extensive pan-Canadian evaluation of lossy compression applied to seven anatomical areas and five modalities using two recognized techniques: objective methods or diagnostic accuracy and subjective assessment based on Just Noticeable Difference. By incorporating both diagnostic accuracy and subjective evaluation techniques, enabled us to define a range of compression for each modality and body part tested. The results of our study suggest that at low levels of compression, there was no significant difference between the performance of lossy JPEG and lossy JPEG 2000, and that they are both appropriate to use for reporting on medical images. At higher levels, lossy JPEG proved to be more effective than JPEG 2000 in some cases, mainly neuro CT. More evaluation is required to assess the effect of compression on thin slice CT. We provide a table of recommended compression ratios for each modality and anatomical area investigated, to be integrated in the Canadian Association of Radiologists standard for the use of lossy compression in medical imaging.

Mesh:

Year:  2008        PMID: 18931879      PMCID: PMC3043739          DOI: 10.1007/s10278-008-9139-7

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


  6 in total

1.  Assessment of visually lossless irreversible image compression: comparison of three methods by using an image-comparison workstation.

Authors:  R M Slone; D H Foos; B R Whiting; E Muka; D A Rubin; T K Pilgram; K S Kohm; S S Young; P Ho; D D Hendrickson
Journal:  Radiology       Date:  2000-05       Impact factor: 11.105

2.  A comparison of wavelet and Joint Photographic Experts Group lossy compression methods applied to medical images.

Authors:  T A Iyriboz; M J Zukoski; K D Hopper; P L Stagg
Journal:  J Digit Imaging       Date:  1999-05       Impact factor: 4.056

3.  Receiver operating characteristic curves and their use in radiology.

Authors:  Nancy A Obuchowski
Journal:  Radiology       Date:  2003-10       Impact factor: 11.105

4.  Irreversible compression of medical images.

Authors:  Bradley J Erickson
Journal:  J Digit Imaging       Date:  2002-04-30       Impact factor: 4.056

5.  Use of a human visual system model to predict observer performance with CRT vs LCD display of images.

Authors:  Elizabeth A Krupinski; Jeffrey Johnson; Hans Roehrig; John Nafziger; Jiahua Fan; Jeffery Lubin
Journal:  J Digit Imaging       Date:  2004-12       Impact factor: 4.056

Review 6.  Wavelet compression of medical images.

Authors:  B J Erickson; A Manduca; P Palisson; K R Persons; F Earnest; V Savcenko; N J Hangiandreou
Journal:  Radiology       Date:  1998-03       Impact factor: 11.105

  6 in total
  15 in total

1.  Lossy JPEG compression in quantitative angiography: the role of X-ray quantum noise.

Authors:  Johannes Peter Fritsch; Rüdiger Brennecke
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

2.  Using JPEG 2000 interactive protocol to stream a large image or a large image set.

Authors:  Rita Noumeir; Jean-François Pambrun
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

3.  Re: PanCanadian evaluation of irreversible compression ratios ("lossy" compression) for development of national guidelines.

Authors:  Geoff Norman; Peter Bak; Andre Matos; David A Koff
Journal:  J Digit Imaging       Date:  2010-10       Impact factor: 4.056

Review 4.  Compressed sensing MRI: a review of the clinical literature.

Authors:  Oren N Jaspan; Roman Fleysher; Michael L Lipton
Journal:  Br J Radiol       Date:  2015-09-24       Impact factor: 3.039

5.  Computed Tomography Image Compressibility and Limitations of Compression Ratio-Based Guidelines.

Authors:  Jean-François Pambrun; Rita Noumeir
Journal:  J Digit Imaging       Date:  2015-12       Impact factor: 4.056

6.  vPSNR: a visualization-aware image fidelity metric tailored for diagnostic imaging.

Authors:  Claes Lundström
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-10-16       Impact factor: 2.924

7.  Evaluation of irreversible compression ratios for medical images thin slice CT and update of Canadian Association of Radiologists (CAR) guidelines.

Authors:  David Koff; Peter Bak; André Matos; Geoff Norman
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

8.  [Irreversible image compression in radiology. Current status].

Authors:  D Pinto dos Santos; F Jungmann; C Friese; C Düber; P Mildenberger
Journal:  Radiologe       Date:  2013-03       Impact factor: 0.635

9.  Quantitative visually lossless compression ratio determination of JPEG2000 in digitized mammograms.

Authors:  Verislav T Georgiev; Anna N Karahaliou; Spyros G Skiadopoulos; Nikos S Arikidis; Alexandra D Kazantzi; George S Panayiotakis; Lena I Costaridou
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

10.  A multicenter observer performance study of 3D JPEG2000 compression of thin-slice CT.

Authors:  Bradley J Erickson; Elizabeth Krupinski; Katherine P Andriole
Journal:  J Digit Imaging       Date:  2009-07-15       Impact factor: 4.056

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