Skip to main content
Journal cover image

Data compression: effect on diagnostic accuracy in digital chest radiography.

Publication ,  Journal Article
MacMahon, H; Doi, K; Sanada, S; Montner, SM; Giger, ML; Metz, CE; Nakamori, N; Yin, FF; Xu, XW; Yonekawa, H
Published in: Radiology
January 1991

High-resolution digital images make up very large data sets that are relatively slow to transmit and expensive to store. Data compression techniques are being developed to address this problem, but significant image deterioration can occur at high compression ratios. In this study, the authors evaluated a form of adaptive block cosine transform coding, a new compression technique that allows considerable compression of digital radiographs with minimal degradation of image quality. To determine the effect of data compression on diagnostic accuracy, observer tests were performed with 60 digitized chest radiographs (2,048 x 2,048 matrix, 1,024 shades of gray) containing subtle examples of pneumothorax, interstitial infiltrate, nodules, and bone lesions. Radiographs with no compression, with 25:1 compression, and with 50:1 compression ratios were presented in randomized order to 12 radiologists. The results suggest that, with this compression scheme, compression ratios as high as 25:1 may be acceptable for primary diagnosis in chest radiology.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Radiology

DOI

ISSN

0033-8419

Publication Date

January 1991

Volume

178

Issue

1

Start / End Page

175 / 179

Location

United States

Related Subject Headings

  • Thoracic Diseases
  • Solitary Pulmonary Nodule
  • Radiography, Thoracic
  • Radiographic Image Enhancement
  • ROC Curve
  • Pneumothorax
  • Nuclear Medicine & Medical Imaging
  • Lung Diseases
  • Humans
  • 3202 Clinical sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
MacMahon, H., Doi, K., Sanada, S., Montner, S. M., Giger, M. L., Metz, C. E., … Yonekawa, H. (1991). Data compression: effect on diagnostic accuracy in digital chest radiography. Radiology, 178(1), 175–179. https://doi.org/10.1148/radiology.178.1.1984299
MacMahon, H., K. Doi, S. Sanada, S. M. Montner, M. L. Giger, C. E. Metz, N. Nakamori, F. F. Yin, X. W. Xu, and H. Yonekawa. “Data compression: effect on diagnostic accuracy in digital chest radiography.Radiology 178, no. 1 (January 1991): 175–79. https://doi.org/10.1148/radiology.178.1.1984299.
MacMahon H, Doi K, Sanada S, Montner SM, Giger ML, Metz CE, et al. Data compression: effect on diagnostic accuracy in digital chest radiography. Radiology. 1991 Jan;178(1):175–9.
MacMahon, H., et al. “Data compression: effect on diagnostic accuracy in digital chest radiography.Radiology, vol. 178, no. 1, Jan. 1991, pp. 175–79. Pubmed, doi:10.1148/radiology.178.1.1984299.
MacMahon H, Doi K, Sanada S, Montner SM, Giger ML, Metz CE, Nakamori N, Yin FF, Xu XW, Yonekawa H. Data compression: effect on diagnostic accuracy in digital chest radiography. Radiology. 1991 Jan;178(1):175–179.
Journal cover image

Published In

Radiology

DOI

ISSN

0033-8419

Publication Date

January 1991

Volume

178

Issue

1

Start / End Page

175 / 179

Location

United States

Related Subject Headings

  • Thoracic Diseases
  • Solitary Pulmonary Nodule
  • Radiography, Thoracic
  • Radiographic Image Enhancement
  • ROC Curve
  • Pneumothorax
  • Nuclear Medicine & Medical Imaging
  • Lung Diseases
  • Humans
  • 3202 Clinical sciences