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Related Experiment Videos

Computed tomography diagnosis utilizing compressed image data: an ROC analysis using acute appendicitis as a model.

Alec J Megibow1, Henry Rusinek, Virna Lisi

  • 1Department of Radiology, NYU Medical Center, New York, NY 10016, USA. alec.megibow@med.nyu.edu

Journal of Digital Imaging
|September 26, 2002
PubMed
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Computed tomography (CT) scans for diagnosing appendicitis can undergo lossy wavelet compression. Moderate compression (8:1) maintains diagnostic accuracy, but higher levels (24:1) slightly reduce sensitivity and overall accuracy.

Area of Science:

  • Radiology
  • Medical Imaging
  • Diagnostic Imaging

Background:

  • Acute appendicitis is a common surgical emergency.
  • Computed tomography (CT) is a primary imaging modality for diagnosing appendicitis.
  • Image compression techniques are explored to optimize storage and transmission of medical images.

Purpose of the Study:

  • To evaluate the diagnostic performance of CT images for acute appendicitis at various lossy compression levels.
  • To determine the impact of wavelet-based compression on the sensitivity, specificity, and accuracy of appendicitis diagnosis.

Main Methods:

  • Fifty-three patients with suspected appendicitis underwent CT imaging.
  • Image sets were compressed using the Embedded Predictive Wavelet Image Coder (EPWIC) at 8:1, 16:1, and 24:1 ratios.

Related Experiment Videos

  • Four radiologists assessed image sets using ROC analysis, evaluating sensitivity, specificity, and accuracy.

    • Main Results:

    • Sensitivity decreased significantly at 16:1 and 24:1 compression levels (P <0.01, P <0.001).
    • Overall diagnostic accuracy decreased at the 24:1 compression level (P <0.01).
    • Specificity remained unaffected by compression, and ROC analysis showed a significant decrease in the area under the curve only at 24:1 compression (P <0.02).

    Conclusions:

    • Wavelet-based lossy compression can be applied to CT images for appendicitis diagnosis.
    • Moderate compression levels (e.g., 8:1) do not compromise diagnostic performance.
    • Higher compression levels (e.g., 24:1) may lead to a statistically significant, albeit potentially clinically acceptable, reduction in diagnostic accuracy.