title: Advantages of fitting contrast curves using logistic function: a technical note.
abstract: OBJECTIVE
  The aim of this article is to demonstrate how the contrast properties of an imaging system can be ideally fitted with the use of stripe patterns and the logistic function.
  
  
  METHODS
  Stripe patterns with defined amounts of line pairs (lp/mm) per mm (10-20 lp/mm) were recorded with the use of digital photostimulable storage phosphor. Scan data and normalized image data were analyzed with the use of ImageJ and MatLab to calculate different contrast curves.
  
  
  RESULTS
  For original scan data, the goodness of fit was 0.0000019 (sum of squared error [SSE]). The R-square was 0.9998. For normalized data the goodness of fit was 0.0007 (SSE) and the R-square 0.998. An amount of 50% contrast could be calculated to be found on 11.67 lp/mm in normalized images.
  
  
  CONCLUSIONS
  This article addresses a potentially new approach to compare digital x-ray modalities using a direct assessment of a known technical target.
authors: University Medical Center, Johannes-Gutenberg University Mainz, Mainz, Germany. bruellmd@uni-mainz.de
authors: Dan Dominik
authors: DD
authors: Brüllmann
authors: Anna M
authors: AM
authors: Sachs
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data*; D016015:Logistic Models; D011856:Radiographic Image Enhancement; D019252:Radiography, Dental, Digital / Q000295:instrumentation / Q000706:statistics & numerical data*; D014963:X-Ray Intensifying Screens / Q000706:statistics & numerical data