Literature DB >> 9718503

Radiologist evaluation of a multispectral image compression algorithm for magnetic resonance images.

P T Cahill1, T Vullo, J H Hu, Y Wang, M D Deck, R Manzo, K Weingarten, J A Markisz.   

Abstract

With the advent of teleradiology and picture archiving and communication systems (PACS), the expense and time required for image transmission and long term image archiving become important. The use of validated image compression algorithms can greatly reduce these costs. A lossy, multispectral image compression scheme at compression ratios (CR) of 25:1 and 32:1 was used for a set of 26 different patient MR exams. The original and compressed/decompressed (CD) images sets were evaluated in a blinded fashion by four radiologists in two phases. The main objective was to determine whether radiologic interpretation would vary between the two types of CD image sets and the corresponding originals. In general, the compression algorithm caused a slight decrease in image quality; however, the interpretation of pathology did not change between the original and CD image sets. In only one case at the maximum CR = 32 did one of four radiologists change the interpretation of pathology after CD. In this study, lossy multispectral image compression of MR images at CR = 25 maintained diagnostic integrity. This could play a significant role in image storage and communications.

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Year:  1998        PMID: 9718503      PMCID: PMC3453199          DOI: 10.1007/bf03168736

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


  5 in total

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Authors:  J H Hu; Y Wang; P T Cahill
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Authors:  P C Cosman; C Tseng; R M Gray; R A Olshen; L E Moses; H C Davidson; C J Bergin; E A Riskin
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3.  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

4.  The effect of irreversible image compression on diagnostic accuracy in thoracic imaging.

Authors:  D R Aberle; F Gleeson; J W Sayre; K Brown; P Batra; D A Young; B K Stewart; B K Ho; H K Huang
Journal:  Invest Radiol       Date:  1993-05       Impact factor: 6.016

5.  Magnetic resonance imaging of the lumbar spine in people without back pain.

Authors:  M C Jensen; M N Brant-Zawadzki; N Obuchowski; M T Modic; D Malkasian; J S Ross
Journal:  N Engl J Med       Date:  1994-07-14       Impact factor: 91.245

  5 in total
  1 in total

1.  Assessment of telemedicine in surgical education and patient care.

Authors:  N Demartines; D Mutter; M Vix; J Leroy; D Glatz; F Rösel; F Harder; J Marescaux
Journal:  Ann Surg       Date:  2000-02       Impact factor: 12.969

  1 in total

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