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Computerized detection of abnormal asymmetry in digital chest radiographs
Author(s) -
Armato Samuel G.,
Giger Maryellen L.,
MacMahon Heber
Publication year - 1994
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.597216
Subject(s) - radiography , thresholding , chest radiograph , digital radiography , radiology , medicine , centroid , nuclear medicine , artificial intelligence , computer science , image (mathematics)
A technique for automated detection of abnormal asymmetry in digital chest radiographs is being developed. Such a method could be used to prescreen chest radiographs to bring obviously abnormal cases to the immediate attention of a radiologist. In addition, this technique may be used to detect large‐area abnormalities which may cause other, more lesion‐specific computer algorithms to fail. Asymmetric abnormalities are detected by multiple stages of gray‐level thresholding. Lung contours are determined, and after a centroid test is used to eliminate contours external to the lungs, the areas of remaining contours are calculated. The present scheme, applied to a database of 70 chest images, yielded a sensitivity of 91% and a specificity of 80%.