A fully automated algorithm for the segmentation of lung fields on digital chest radiographic images

J. Duryea, John M Boone

Research output: Contribution to journalArticle

76 Scopus citations

Abstract

A completely automated algorithm is presented which is capable of identifying both the right- and left-lung fields on digitized chest radiographic images. The algorithm is tested on a sample of 802 chest images against lung fields drawn by a human observer. The average accuracies are found to be 0.957±0.003 and 0.960±0.003 for right- and left-lung regions, respectively. To put them into perspective, the results are compared to several other simple segmentation techniques. These include a comparison of two sets of lung fields drawn by the human observer at different times which yielded accuracies of 0.967±0.005 and 0.967±0.004 for right- and left-lung regions, respectively.

Original languageEnglish (US)
Pages (from-to)183-192
Number of pages10
JournalMedical Physics
Volume22
Issue number2
DOIs
StatePublished - 1995

ASJC Scopus subject areas

  • Biophysics

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