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Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension.

Publication ,  Journal Article
Floyd, CE; Patz, EF; Lo, JY; Vittitoe, NF; Stambaugh, LE
Published in: AJR Am J Roentgenol
November 1996

OBJECTIVE: We present a computer-aided diagnostic technique for identifying nodular interstitial lung disease on chest radiographs. The fractal dimension was used as a numerical measure of image texture on digital chest radiographs to distinguish patients with normal lung from those with a diffuse nodular interstitial abnormality. MATERIALS AND METHODS: Twenty digitized chest radiographs were classified as normal (n = 10) or as containing diffuse nodular abnormality (n = 10) on the basis of readings assigned according to the classification of the International Labour Organization. Regions of interest (ROIs) measuring 1.28 cm2 were selected from the intercostal spaces of these radiographs. The fractal dimension of these ROIs was estimated by power spectrum analysis. The cases were not subtle. RESULTS: The fractal dimension provided statistically significant discrimination between normal parenchyma and nodular interstitial lung disease. The area under the receiver operating characteristic curve was 0.90 (+/- 0.02). One operating point provides sensitivity of 88% with a specificity of 80%. CONCLUSION: The fractal dimension can provide a measure of lung parenchymal texture and shows promise as an element of computer-aided diagnosis, characterization, and follow-up of interstitial lung disease.

Duke Scholars

Published In

AJR Am J Roentgenol

DOI

ISSN

0361-803X

Publication Date

November 1996

Volume

167

Issue

5

Start / End Page

1185 / 1187

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Radiography, Thoracic
  • Radiographic Image Enhancement
  • ROC Curve
  • Pilot Projects
  • Observer Variation
  • Nuclear Medicine & Medical Imaging
  • Lung Diseases, Interstitial
  • Lung
  • Image Processing, Computer-Assisted
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Floyd, C. E., Patz, E. F., Lo, J. Y., Vittitoe, N. F., & Stambaugh, L. E. (1996). Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension. AJR Am J Roentgenol, 167(5), 1185–1187. https://doi.org/10.2214/ajr.167.5.8911177
Floyd, C. E., E. F. Patz, J. Y. Lo, N. F. Vittitoe, and L. E. Stambaugh. “Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension.AJR Am J Roentgenol 167, no. 5 (November 1996): 1185–87. https://doi.org/10.2214/ajr.167.5.8911177.
Floyd CE, Patz EF, Lo JY, Vittitoe NF, Stambaugh LE. Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension. AJR Am J Roentgenol. 1996 Nov;167(5):1185–7.
Floyd, C. E., et al. “Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension.AJR Am J Roentgenol, vol. 167, no. 5, Nov. 1996, pp. 1185–87. Pubmed, doi:10.2214/ajr.167.5.8911177.
Floyd CE, Patz EF, Lo JY, Vittitoe NF, Stambaugh LE. Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension. AJR Am J Roentgenol. 1996 Nov;167(5):1185–1187.

Published In

AJR Am J Roentgenol

DOI

ISSN

0361-803X

Publication Date

November 1996

Volume

167

Issue

5

Start / End Page

1185 / 1187

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Radiography, Thoracic
  • Radiographic Image Enhancement
  • ROC Curve
  • Pilot Projects
  • Observer Variation
  • Nuclear Medicine & Medical Imaging
  • Lung Diseases, Interstitial
  • Lung
  • Image Processing, Computer-Assisted