Literature DB >> 19115165

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

R Loose1, R Braunschweig, E Kotter, P Mildenberger, R Simmler, M Wucherer.   

Abstract

PURPOSE: Recommendations for lossy compression of digital radiological DICOM images in Germany by means of a consensus conference. The compression of digital radiological images was evaluated in many studies . Even though the results demonstrate full diagnostic image quality of modality-dependent compression between 1:5 and 1:200, there are only a few clinical applications.
MATERIALS AND METHODS: A consensus conference with approx. 80 interested participants (radiology, industry, physics, and agencies) without individual invitation was organized by the working groups AGIT and APT of the German Roentgen Society DRG to determine compression factors without loss of diagnostic image quality for different anatomical regions for CT, CR/DR, MR, RF/XA examinations. The consent level was specified as at least 66 %.
RESULTS: For individual modalities the following compression factors were recommended: CT (brain) 1:5, CT (all other applications) 1:8, CR/DR (all applications except mammography) 1:10, CR/DR (mammography) 1:15, MR (all applications) 1:7, RF/XA (fluoroscopy, DSA, cardiac angio) 1: 6. The recommended compression ratios are valid for JPEG and JPEG 2000 /Wavelet compressions.
CONCLUSION: The results may be understood as recommendations and indicate limits of compression factors with no expected reduction of diagnostic image quality. They are similar to the current national recommendations for Canada and England .

Entities:  

Mesh:

Year:  2008        PMID: 19115165     DOI: 10.1055/s-2008-1027847

Source DB:  PubMed          Journal:  Rofo        ISSN: 1438-9010


  11 in total

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

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Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

2.  Characterization of image transfer patterns in a regional trauma network.

Authors:  Philipp Neuhaus; Thomas Weber; Martin Dugas; Christian Juhra; Bernhard Breil
Journal:  J Med Syst       Date:  2014-09-30       Impact factor: 4.460

3.  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

4.  [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

5.  Structural similarity index family for image quality assessment in radiological images.

Authors:  Gabriel Prieto Renieblas; Agustín Turrero Nogués; Alberto Muñoz González; Nieves Gómez-Leon; Eduardo Guibelalde Del Castillo
Journal:  J Med Imaging (Bellingham)       Date:  2017-07-26

6.  The impact of irreversible image data compression on post-processing algorithms in computed tomography.

Authors:  Daniel Pinto Dos Santos; Conrad Friese; Jan Borggrefe; Peter Mildenberger; Aline Mähringer-Kunz; Roman Kloeckner
Journal:  Diagn Interv Radiol       Date:  2020-01       Impact factor: 2.630

7.  Society of Vascular and Interventional Neurology (SVIN) Stroke Interventional Laboratory Consensus (SILC) Criteria: A 7M Management Approach to Developing a Stroke Interventional Laboratory in the Era of Stroke Thrombectomy for Large Vessel Occlusions.

Authors:  Tanzila Shams; Osama Zaidat; Dileep Yavagal; Andrew Xavier; Tudor Jovin; Vallabh Janardhan
Journal:  Interv Neurol       Date:  2016-02-26

8.  Determining optimal medical image compression: psychometric and image distortion analysis.

Authors:  Alexander C Flint
Journal:  BMC Med Imaging       Date:  2012-07-31       Impact factor: 1.930

9.  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

Review 10.  Technical Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper.

Authors:  David A Clunie; Don K Dennison; Dawn Cram; Kenneth R Persons; Mark D Bronkalla; Henri Rik Primo
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

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