title: Nodule detection in digital chest radiography: part of image background acting as pure noise.
abstract: There are several factors that influence the radiologist's ability to detect a specific structure/lesion in a radiograph. Three factors that are commonly known to be of major importance are the signal itself, the system noise and the projected anatomy. The aim of this study was to determine to what extent the image background acts as pure noise for the detection of subtle lung nodules in five different regions of the chest. A receiver operating characteristic (ROC) study with five observers was conducted on two different sets of images, clinical chest X-ray images and images with a similar power spectrum as the clinical images but with a random phase spectrum, resulting in an image background containing pure noise. Simulated designer nodules with a full-width-at-fifth-maximum of 10 mm but with varying contrasts were added to the images. As a measure of the part of the image background that acts as pure noise, the ratio between the contrast needed to obtain an area under the ROC curve of 0.80 in the clinical images to that in the random-phase images was used. The ratio ranged from 0.40 (in the lateral pulmonary regions) to 0.83 (in the hilar regions) indicating that there was a large difference between different regions regarding to what extent the image background acted as pure noise; and that in the hilar regions the image background almost completely acted as pure noise for the detection of 10 mm nodules.
authors.affiliation: Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, SE-413 45 Göteborg, Sweden. magnus.bath@vgregion.se
authors.forename: Magnus
authors.initials: M
authors.lastname: Båth
authors.forename: Markus
authors.initials: M
authors.lastname: Håkansson
authors.forename: Sara
authors.initials: S
authors.lastname: Börjesson
authors.forename: Susanne
authors.initials: S
authors.lastname: Kheddache
authors.forename: Anna
authors.initials: A
authors.lastname: Grahn
authors.forename: François O
authors.initials: FO
authors.lastname: Bochud
authors.forename: Francis R
authors.initials: FR
authors.lastname: Verdun
authors.forename: Lars Gunnar
authors.initials: LG
authors.lastname: Månsson
mesh_terms: D016477:Artifacts; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008168:Lung / Q000000981:diagnostic imaging* / Q000473:pathology; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D008953:Models, Anatomic; D012372:ROC Curve; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011859:Radiography / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D012542:Scattering, Radiation; D012984:Software; D014965:X-Rays