Literature DB >> 10847394

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

V Savcenko1, B J Erickson, K R Persons, N G Campeau, J Huston, C P Wood, S A Schreiner.   

Abstract

We performed visual comparison of 200 head magnetic resonance (MR) and 200 head computed tomography (CT) images compressed at two levels using standard Joint Photographic Experts Group (JPEG) irreversible compression and a preliminary version of the JPEG 2000 irreversible algorithm. Blinded evaluations by neuroradiologists compared original versus either JPEG or JPEG 2000. We found that this version of JPEG 2000 did not perform as well as the current JPEG for head CTs, but for MR images, JPEG 2000 performed as well or better. Around 7:1 compression ratio seemed to be a conservative point where there was no perceptible difference.

Mesh：

Year:  2000        PMID： 10847394      PMCID： PMC3453290          DOI： 10.1007/bf03167656

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


  6 in total

1.  Irreversible compression of medical images.

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

2.  A perceptual evaluation of JPEG 2000 image compression for digital mammography: contrast-detail characteristics.

Authors:  Sankararaman Suryanarayanan; Andrew Karellas; Srinivasan Vedantham; Sandra M Waldrop; Carl J D'Orsi
Journal:  J Digit Imaging       Date:  2004-03       Impact factor: 4.056

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

Authors:  P Gabriel Peterson; Sung K Pak; Binh Nguyen; Genevieve Jacobs; Les Folio
Journal:  J Digit Imaging       Date:  2012-12       Impact factor: 4.056

4.  A medical application integrating remote 3D visualization tools to access picture archiving and communication system on mobile devices.

Authors:  Longjun He; Xing Ming; Qian Liu
Journal:  J Med Syst       Date:  2014-04-05       Impact factor: 4.460

5.  User interface of a teleradiology system for the MR assessment of multiple sclerosis.

Authors:  G Luccichenti; F Cademartiri; A Pichiecchio; E Bontempi; U Sabatini; S Bastianello
Journal:  J Digit Imaging       Date:  2009-07-15       Impact factor: 4.056

6.  A smartphone client-server teleradiology system for primary diagnosis of acute stroke.

Authors:  J Ross Mitchell; Pranshu Sharma; Jayesh Modi; Mark Simpson; Monroe Thomas; Michael D Hill; Mayank Goyal
Journal:  J Med Internet Res       Date:  2011-05-06       Impact factor: 5.428
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.