The effect of image data compression on the clinical information quality of compressed computed tomography Images for teleradiology applications

S. E. Ghrare, M. A M Ali, Mahamod Ismail, K. Jumari

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Image communication systems for medical images have bandwidth and image size constraints that result in time-consuming transmission of uncompressed raw image data. Thus image compression plays vital role to reduce the bit rate for transmission or storage while maintaining an acceptable reproduction quality, but it is natural to rise the question of how much an image can be compressed and still preserve sufficient information for a given clinical application. Evaluation of the quality of medical image compression still remains an important issue. Image quality has two implications: fidelity and intelligibility. Fidelity describes how the reconstructed image differs from the original one. Intelligibility shows the ability through which the image can offer information to people with classification accuracy. Many techniques for achieving data compression have been introduced. Wavelet transform techniques currently provide the most promising approach to high-quality image compression, which is essential for teleradiology. In this study, three different Computed Tomography images which are adrenal, chest and liver have been compressed and reconstructed using wavelet transform. Subjective and objective evaluation has been done to investigate the clinical information quality of the compressed images. For the objective evaluation, the results show that the PSNR which indicates the quality of the reconstructed image is ranging from (27.6dB to 36.7dB, 23.8dB to 31.8dB, and 23.9dB to 31.0dB) for adrenal, chest, and liver respectively. For the subjective evaluation test, the results show that the compression ratio of 30:1 was acceptable for chest and liver images, whereas for adrenal image 40:1 was acceptable.

Original languageEnglish
Pages (from-to)6-12
Number of pages7
JournalEuropean Journal of Scientific Research
Volume23
Issue number1
Publication statusPublished - 2008

Fingerprint

Teleradiology
Data Compression
Information Quality
Computed Tomography
Data compression
Image Compression
chest
Image compression
computed tomography
Liver
tomography
Tomography
compression
Wavelet Analysis
Wavelet transforms
liver
Thorax
Image communication systems
communications technology
Image quality

Keywords

  • Computed tomography
  • Medical image
  • Teleradiology
  • Wavelet transform

ASJC Scopus subject areas

  • General

Cite this

The effect of image data compression on the clinical information quality of compressed computed tomography Images for teleradiology applications. / Ghrare, S. E.; Ali, M. A M; Ismail, Mahamod; Jumari, K.

In: European Journal of Scientific Research, Vol. 23, No. 1, 2008, p. 6-12.

Research output: Contribution to journalArticle

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