Literature DB >> 8496031

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

D R Aberle1, F Gleeson, J W Sayre, K Brown, P Batra, D A Young, B K Stewart, B K Ho, H K Huang.   

Abstract

RATIONALE AND
OBJECTIVES: Digital image compression reduces the storage requirements and network traffic on picture archiving and communications systems. Full-frame bit-allocation (FFBA) is an irreversible image-compression method based on the discrete cosine transform that provides for high compression ratios with a high degree of image fidelity.
METHODS: One hundred twenty-two posteroanterior chest radiographs were obtained on patients in an ambulatory patient setting, including 30 cases of interstitial lung disease, 45 images containing combinations of lung nodules (N = 37) or mediastinal masses (N = 39), and 47 normal images containing none of the pathology for which we were testing. The images were digitized (nominal 2 K x 2 K x 12-bit resolution), printed on a 35 x 35-cm hard copy format, and compressed at an approximate compression ratio of 20:1. Observer performance tests were conducted with five radiologists using receiver operating characteristics analysis on digitized uncompressed and compressed hard copy images.
RESULTS: There were no significant differences between the two display conditions for the detectability of any of the thoracic abnormalities.
CONCLUSIONS: Our preliminary results suggest that irreversible image compression at ratios of 20:1 may be acceptable for use in digital thoracic imaging.

Entities:  

Mesh:

Year:  1993        PMID: 8496031     DOI: 10.1097/00004424-199305000-00002

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  7 in total

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

Authors:  P T Cahill; T Vullo; J H Hu; Y Wang; M D Deck; R Manzo; K Weingarten; J A Markisz
Journal:  J Digit Imaging       Date:  1998-08       Impact factor: 4.056

3.  Perceived fidelity of compressed and reconstructed radiological images: a preliminary exploration of compression, luminance, and viewing distance.

Authors:  T K Pilgram; R M Slone; E Muka; J R Cox; G J Blaine
Journal:  J Digit Imaging       Date:  1998-11       Impact factor: 4.056

4.  Does products liability litigation threaten picture archiving and communication systems and/or telemedicine?

Authors:  J P McMenamin
Journal:  J Digit Imaging       Date:  1998-02       Impact factor: 4.056

5.  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

6.  Image data compression.

Authors:  M A Goldberg
Journal:  J Digit Imaging       Date:  1997-08       Impact factor: 4.056

7.  Data clustering and other archive retrieval strategies for teleradiology and picture archiving and communication systems.

Authors:  B Ho; W Chao; R Sadri; L Huang; R Taira; H Shih
Journal:  J Digit Imaging       Date:  1995-11       Impact factor: 4.056

  7 in total

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