COMPUTERIZED DETECTION OF ABNORMAL ASYMMETRY IN DIGITAL CHEST RADIOGRAPHS

被引：18

作者：

ARMATO, SG

GIGER, ML

MACMAHON, H

机构：

[1] Kurt Rossmann Laboratories for Radiologic Image Research, Denartment of Radiology, The University of Chicago, Chicago, Illinois 60637

来源：

MEDICAL PHYSICS | 1994年 / 21卷 / 11期

关键词：

COMPUTER-AIDED; DIAGNOSIS; DIGITAL CHEST RADIOGRAPHY; ASYMMETRIC ABNORMALITY; GRAY-LEVEL THRESHOLDING; LUNG SEGMENTATION;

D O I：

10.1118/1.597216

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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%. © 1994, American Association of Physicists in Medicine. All rights reserved.

引用

页码：1761 / 1768

页数：8

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