title: Automated registration of ventilation-perfusion images with digital chest radiographs.
abstract: OBJECTIVE
  The authors have developed an automated computerized technique for registering radionuclide lung scan images with digital chest radiographs.
  
  
  METHODS
  Threshold analysis was used to construct contours around the high-activity regions of radionuclide ventilation-perfusion images. Analogous contours were constructed around the lung regions of the corresponding digitized radiographs. Contour dimensions and anatomic landmark locations were then used to superimpose the radiographic, ventilation, and perfusion images.
  
  
  RESULTS
  Evaluation of 25 sets of images indicated that the scheme provided adequate to excellent registration in 91% of the pairwise combinations.
  
  
  CONCLUSIONS
  This automated scheme for registering ventilation-perfusion images with digital chest radiographs has the potential to aid radiologists in the interpretation of these images.
authors.affiliation: Kurt Rossmann Laboratories for Radiologic Image Research, University of Chicago, IL, USA.
authors.forename: S G
authors.initials: SG
authors.lastname: Armato
authors.forename: M L
authors.initials: ML
authors.lastname: Giger
authors.forename: H
authors.initials: H
authors.lastname: MacMahon
authors.forename: C T
authors.initials: CT
authors.lastname: Chen
authors.forename: C J
authors.initials: CJ
authors.lastname: Vyborny
mesh_terms: D000328:Adult; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008168:Lung / Q000000981:diagnostic imaging*; D008297:Male; D011655:Pulmonary Embolism / Q000000981:diagnostic imaging*; D011856:Radiographic Image Enhancement; D011877:Radionuclide Imaging; D014692:Ventilation-Perfusion Ratio; D014980:Xenon Radioisotopes
chemical_list: D014980:Xenon Radioisotopes