Literature DB >> 9848413

A review of compression methods for medical images in PACS.

M G Strintzis1.   

Abstract

As an introduction to Section C2 (medical imaging) of track C (Images and PACS) of MIE '97, an appropriate and timely topic concerns the coding for the transmission of medical images in PACS. Speed limitations of existing networks along with the explosive growth of image modalities with extremely high volume outputs have combined to make the issue of medical image coding one of the key considerations in the design of future PACS systems. Both lossless and lossy compression schemes are reviewed and compared, and the compression demands are presented of the main digital medical image modalities.

Mesh:

Year:  1998        PMID: 9848413     DOI: 10.1016/s1386-5056(98)00135-x

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  5 in total

1.  Seamless multiresolution display of portable wavelet-compressed images.

Authors:  M E Hovanes; J R Deal; A H Rowberg
Journal:  J Digit Imaging       Date:  1999-05       Impact factor: 4.056

2.  Visually lossless threshold determination for microcalcification detection in wavelet compressed mammograms.

Authors:  O Kocsis; L Costaridou; L Varaki; E Likaki; C Kalogeropoulou; S Skiadopoulos; G Panayiotakis
Journal:  Eur Radiol       Date:  2003-02-15       Impact factor: 5.315

3.  A novel weighted compressive sensing using L1-magic recovery technique in medical image compression.

Authors:  Eman Elsaid Alaa; Amira S Ashour; Yanhui Guo; Hossam M Kasem
Journal:  Health Inf Sci Syst       Date:  2019-12-23

4.  Improving diagnostic quality of MR images through controlled lossy compression using SPIHT.

Authors:  Miew Keen Choong; Rajasvaran Logeswaran; Michel Bister
Journal:  J Med Syst       Date:  2006-06       Impact factor: 4.920

5.  Design of a lossless image compression system for video capsule endoscopy and its performance in in-vivo trials.

Authors:  Tareq H Khan; Khan A Wahid
Journal:  Sensors (Basel)       Date:  2014-11-04       Impact factor: 3.576

  5 in total

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