Literature DB >> 12134209

Irreversible compression of medical images.

Bradley J Erickson1.   

Abstract

The volume of data from medical imaging is growing at exponential rates, matching or exceeding the decline in the costs of digital data storage. While methods to reversibly compress image data do exist, current methods only achieve modest reductions in storage requirements. Irreversible compression can achieve substantially higher compression ratios without perceptible image degradation. These techniques are routinely applied in teleradiology, and often in Picture Archiving and Communications Systems. The practicing radiologist needs to understand how these compression techniques work and the nature of the degradation that occurs in order to optimize their medical practice. This paper describes the technology and artifacts commonly used in irreversible compression of medical images.

Mesh:

Year:  2002        PMID: 12134209      PMCID: PMC3946081          DOI: 10.1007/s10278-002-0001-z

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


  26 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.  An evaluation of JPEG and JPEG 2000 irreversible compression algorithms applied to neurologic computed tomography and magnetic resonance images. Joint Photographic Experts Group.

Authors:  V Savcenko; B J Erickson; K R Persons; N G Campeau; J Huston; C P Wood; S A Schreiner
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

3.  Requirements for an enterprise digital image archive.

Authors:  B J Erickson; K R Persons; N J Hangiandreou; E M James; C J Hanna; D G Gehring
Journal:  J Digit Imaging       Date:  2001-06       Impact factor: 4.056

4.  Clinician usage patterns of a desktop radiology information display application.

Authors:  B J Erickson; W J Ryan; D G Gehring; C Beebe
Journal:  J Digit Imaging       Date:  1998-08       Impact factor: 4.056

5.  Impact of lossy image compression on accuracy of caries detection in digital images taken with a storage phosphor system.

Authors:  A Wenzel; E Gotfredsen; E Borg; H G Gröndahl
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  1996-03

6.  Clinical use of lossy image compression in digital angiography.

Authors:  J L Elion; J S Whiting
Journal:  Am J Cardiol       Date:  1996-07-15       Impact factor: 2.778

7.  Image display for clinicians on medical record workstations.

Authors:  B J Erickson; W J Ryan; D G Gehring; C Beebe
Journal:  J Digit Imaging       Date:  1997-08       Impact factor: 4.056

8.  Evaluation of irreversible compression of digitized posterior-anterior chest radiographs.

Authors:  B J Erickson; A Manduca; K R Persons; F Earnest; T E Hartman; G F Harms; L R Brown
Journal:  J Digit Imaging       Date:  1997-08       Impact factor: 4.056

9.  Objective methods for optimizing JPEG compression of coronary angiographic images.

Authors:  D G Onnasch; G P Prause; A Plöger
Journal:  Int J Card Imaging       Date:  1995-09

10.  Detection of discrete white matter lesions after irreversible compression of MR images.

Authors:  D A Clunie; P J Mitchell; J Howieson; S Roman-Goldstein; J Szumowski
Journal:  AJNR Am J Neuroradiol       Date:  1995-08       Impact factor: 3.825

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  13 in total

1.  JPEG2000 for automated quantification of immunohistochemically stained cell nuclei: a comparative study with standard JPEG format.

Authors:  Marylène Lejeune; Carlos López; Ramón Bosch; Anna Korzyńska; Maria-Teresa Salvadó; Marcial García-Rojo; Urszula Neuman; Łukasz Witkowski; Jordi Baucells; Joaquín Jaén
Journal:  Virchows Arch       Date:  2010-11-18       Impact factor: 4.064

2.  Quality of compressed medical images.

Authors:  Ya-Hui Shiao; Tzong-Jer Chen; Keh-Shih Chuang; Cheng-Hsun Lin; Chun-Chao Chuang
Journal:  J Digit Imaging       Date:  2007-02-22       Impact factor: 4.056

3.  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

4.  Fractal analysis of periapical bone from lossy compressed radiographs: a comparison of two lossy compression methods.

Authors:  B Güniz Baksi; Aleš Fidler
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

5.  A parallel method to improve medical image transmission.

Authors:  Rouzbeh Maani; Sergio Camorlinga; Neil Arnason
Journal:  J Digit Imaging       Date:  2012-02       Impact factor: 4.056

6.  Influence of the image file format of digital periapical radiographs on the diagnosis of external and internal root resorptions.

Authors:  Murilo Miranda-Viana; Daniela Verardi Madlum; Nicolly Oliveira-Santos; Hugo Gaêta-Araujo; Francisco Haiter-Neto; Matheus L Oliveira
Journal:  Clin Oral Investig       Date:  2021-01-26       Impact factor: 3.573

7.  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

8.  JPEG2000 still image coding quality.

Authors:  Tzong-Jer Chen; Sheng-Chieh Lin; You-Chen Lin; Ren-Gui Cheng; Li-Hui Lin; Wei Wu
Journal:  J Digit Imaging       Date:  2013-10       Impact factor: 4.056

9.  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

10.  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

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