title: Enhancement of visual perception with use of dynamic cues.
abstract: Institutional review board approval and signed informed consent were not needed, as medical images included in public databases were used in this study. The purpose of this study was to improve the detection of microcalcifications on mammograms and lung nodules on chest radiographs by using the dynamic cues algorithm and the motion and flickering sensitivity of the human visual system (HVS). Different sets of mammograms from the Mammographic Image Analysis Society database and chest radiographs from the Japanese Society of Radiological Technology database were presented statically, as is standard, and in a video sequence generated with the dynamic cues algorithm. Nine observers were asked to rate the presence of abnormalities with a five-point scale (1, definitely not present; 5, definitely present). The data were analyzed with receiver operating characteristic (ROC) techniques and the Dorfman-Berbaum-Metz method. The video sequence generated with the dynamic cues algorithm increased the rate of detection of microcalcifications by 10.2% (P = .002) compared with that obtained with the standard static method, as measured by the area under the ROC curve. Similar results were obtained for lung nodules, with an increase of 12.3% (P = .0054). The increase in the rate of correct detection did not come just from the image contrast change produced by the algorithm but also from the fact that image frames generated with the dynamic cues algorithm were put together in a video sequence so that the motion sensitivity of the HVS could be used to facilitate the detection of low-contrast objects.
  
  
  BACKGROUND
  http://radiology.rsnajnls.org/cgi/content/full/250/2/551/DC1.
authors.affiliation: Department of Radiology, Faculty of Biological Sciences, Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile. mandia@med.puc.cl
authors.forename: Marcelo E
authors.initials: ME
authors.lastname: Andia
authors.forename: Johannes
authors.initials: J
authors.lastname: Plett
authors.forename: Cristian
authors.initials: C
authors.lastname: Tejos
authors.forename: Marcelo W
authors.initials: MW
authors.lastname: Guarini
authors.forename: María E
authors.initials: ME
authors.lastname: Navarro
authors.forename: Dravna
authors.initials: D
authors.lastname: Razmilic
authors.forename: Luis
authors.initials: L
authors.lastname: Meneses
authors.forename: Manuel J
authors.initials: MJ
authors.lastname: Villalon
authors.forename: Pablo
authors.initials: P
authors.lastname: Irarrazaval
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D002114:Calcinosis / Q000000981:diagnostic imaging*; D003463:Cues; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D008327:Mammography; D012372:ROC Curve; D013902:Radiography, Thoracic; D014796:Visual Perception / Q000502:physiology*