Literature DB >> 22722754

Extreme compression for extreme conditions: pilot study to identify optimal compression of CT images using MPEG-4 video compression.

P Gabriel Peterson1, Sung K Pak, Binh Nguyen, Genevieve Jacobs, Les Folio.   

Abstract

This study aims to evaluate the utility of compressed computed tomography (CT) studies (to expedite transmission) using Motion Pictures Experts Group, Layer 4 (MPEG-4) movie formatting in combat hospitals when guiding major treatment regimens. This retrospective analysis was approved by Walter Reed Army Medical Center institutional review board with a waiver for the informed consent requirement. Twenty-five CT chest, abdomen, and pelvis exams were converted from Digital Imaging and Communications in Medicine to MPEG-4 movie format at various compression ratios. Three board-certified radiologists reviewed various levels of compression on emergent CT findings on 25 combat casualties and compared with the interpretation of the original series. A Universal Trauma Window was selected at -200 HU level and 1,500 HU width, then compressed at three lossy levels. Sensitivities and specificities for each reviewer were calculated along with 95 % confidence intervals using the method of general estimating equations. The compression ratios compared were 171:1, 86:1, and 41:1 with combined sensitivities of 90 % (95 % confidence interval, 79-95), 94 % (87-97), and 100 % (93-100), respectively. Combined specificities were 100 % (85-100), 100 % (85-100), and 96 % (78-99), respectively. The introduction of CT in combat hospitals with increasing detectors and image data in recent military operations has increased the need for effective teleradiology; mandating compression technology. Image compression is currently used to transmit images from combat hospital to tertiary care centers with subspecialists and our study demonstrates MPEG-4 technology as a reasonable means of achieving such compression.

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Year:  2012        PMID: 22722754      PMCID: PMC3491159          DOI: 10.1007/s10278-012-9500-8

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


  14 in total

1.  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

2.  The effect of MPEG audio compression on multidimensional set of voice parameters.

Authors:  J Gonzalez; T Cervera
Journal:  Logoped Phoniatr Vocol       Date:  2001       Impact factor: 1.487

3.  Quality degradation in lossy wavelet image compression.

Authors:  Tzong-Jer Chen; Keh-Shih Chuang; Jay Wu; Sharon C Chen; Ing-Ming Hwang; Meei-Ling Jan
Journal:  J Digit Imaging       Date:  2003-10-02       Impact factor: 4.056

Review 4.  Multidetector CT: opportunities, challenges, and concerns associated with scanners with 64 or more detector rows.

Authors:  John M Boone
Journal:  Radiology       Date:  2006-11       Impact factor: 11.105

5.  High-performance wavelet compression for mammography: localization response operating characteristic evaluation.

Authors:  Maria Kallergi; Bradley J Lucier; Claudia G Berman; Marla R Hersh; Jihai J Kim; Margaret S Szabunio; Robert A Clark
Journal:  Radiology       Date:  2006-01       Impact factor: 11.105

6.  Informatics in radiology: A prototype Web-based reporting system for onsite-offsite clinician communication.

Authors:  Corey W Arnold; Alex A T Bui; Craig Morioka; Suzie El-Saden; Hooshang Kangarloo
Journal:  Radiographics       Date:  2007 Jul-Aug       Impact factor: 5.333

7.  Detection of subtle abnormalities on chest radiographs after irreversible compression.

Authors:  V Savcenko; B J Erickson; P M Palisson; K R Persons; A Manduca; T E Hartman; G F Harms; L R Brown
Journal:  Radiology       Date:  1998-03       Impact factor: 11.105

8.  Application of wavelet compression to digitized radiographs.

Authors:  M A Goldberg; M Pivovarov; W W Mayo-Smith; M P Bhalla; J G Blickman; R T Bramson; G W Boland; H J Llewellyn; E Halpern
Journal:  AJR Am J Roentgenol       Date:  1994-08       Impact factor: 3.959

9.  Computed tomography diagnosis utilizing compressed image data: an ROC analysis using acute appendicitis as a model.

Authors:  Alec J Megibow; Henry Rusinek; Virna Lisi; Genevieve L Bennett; Michael Macari; Gary M Israel; Glenn A Krinsky
Journal:  J Digit Imaging       Date:  2002-09-26       Impact factor: 4.056

10.  Texture characterization for joint compression and classification based on human perception in the wavelet domain.

Authors:  Gamal Fahmy; John Black; Sethuraman Panchanathan
Journal:  IEEE Trans Image Process       Date:  2006-06       Impact factor: 10.856

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  2 in total

1.  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

2.  Clinical Applications of a CT Window Blending Algorithm: RADIO (Relative Attenuation-Dependent Image Overlay).

Authors:  Jacob C Mandell; Bharti Khurana; Les R Folio; Hyewon Hyun; Stacy E Smith; Ruth M Dunne; Katherine P Andriole
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

  2 in total

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