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Nodule detection in digital chest radiography: effect of nodule location.

Journal article
Authors Markus Håkansson
Magnus Båth
Sara Börjesson
Susanne Kheddache
Agneta Flinck
Gustaf Ullman
Lars Gunnar Månsson
Published in Radiation protection dosimetry
Volume 114
Issue 1-3
Pages 92-6
ISSN 0144-8420
Publication year 2005
Published at Institute of Selected Clinical Sciences, Department of Radiation Physics
Institute of Selected Clinical Sciences, Department of Radiology
Pages 92-6
Language en
Links dx.doi.org/10.1093/rpd/nch524
Keywords Artifacts, Humans, Image Processing, Computer-Assisted, Lung, pathology, radiography, Lung Neoplasms, diagnosis, radiography, Models, Anatomic, Monte Carlo Method, Observer Variation, ROC Curve, Radiographic Image Enhancement, methods, Radiographic Image Interpretation, Computer-Assisted, methods, Radiography, methods, Radiography, Thoracic, methods, Scattering, Radiation, Software, X-Rays
Subject categories Radiological physics, Radiology

Abstract

Most detection studies in chest radiography treat the entire chest image as a single background or divided into the two regions parenchyma and mediastinum. However, the different parts of the lung show great variations in attenuation and structure, leading to different amounts of quantum noise and scattered radiation as well as different complexity. Detailed data on the difference in detectability in the different regions are of importance. The purpose of this study was to quantify the difference in detectability between different regions of a chest image. The chest X ray was divided into six different regions, where each region was considered to be uniform in terms of detectability. Thirty clinical chest images were collected and divided into the different regions. Simulated designer nodules with a full-width-at-fifth-maximum of 10 mm but with varying contrast were added to the images. An equal number of images lacking pathology were included and a receiver operating characteristic (ROC) study was conducted with five observers. Results show that the image contrast needed to obtain a constant value of A(z) (area under an ROC curve) differs by more than a factor of four between different regions.

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