title: Contrast enhancement in emission tomography by way of synergistic PET/CT image combination.
abstract: The display of image fusion is well accepted as a powerful tool in visual image analysis and comparison. In clinical practice, this is a mandatory step when studying images from a dual PET/CT scanner. However, the display methods that are implemented on most workstations simply show both images side by side, in separate and synchronized windows. Sometimes images are presented superimposed in a single window, preventing the user from doing quantitative analysis. In this article a new image fusion scheme is presented, allowing performing quantitative analysis directly on the fused images.
  
  
  METHODS
  The objective is to preserve the functional information provided by PET while incorporating details of higher resolution from the CT image. The process relies on a discrete wavelet-based image merging: both images are decomposed into successive details layers by using the "à trous" transform. This algorithm performs wavelet decomposition of images and provides coarser and coarser spatial resolution versions of them. The high-spatial frequencies of the CT, or details, can be easily obtained at any level of resolution. A simple model is then inferred to compute the lacking details of the PET scan from the high frequency detail layers of the CT. These details are then incorporated in the PET image on a voxel-to-voxel basis, giving the fused PET/CT image.
  
  
  RESULTS
  Aside from the expected visual enhancement, quantitative comparison of initial PET and CT images with fused images was performed in 12 patients. The obtained results were in accordance with the objectives of the study, in the sense that the organs' mean intensity in PET was preserved in the fused image.
  
  
  CONCLUSIONS
  This alternative approach to PET/CT fusion display should be of interest for people interested in a more quantitative aspect of image fusion. The proposed method is actually complementary to more classical visualization tools.
authors.affiliation: INSERM, U650, Laboratoire du traitement de l'information médicale , CHU Morvan, 29609 Brest, France. nboussion@yahoo.fr
authors.forename: N
authors.initials: N
authors.lastname: Boussion
authors.forename: M
authors.initials: M
authors.lastname: Hatt
authors.forename: F
authors.initials: F
authors.lastname: Lamare
authors.forename: C Cheze Le
authors.initials: CC
authors.lastname: Rest
authors.forename: D
authors.initials: D
authors.lastname: Visvikis
mesh_terms: D000465:Algorithms; D003287:Contrast Media; D006801:Humans; D009369:Neoplasms / Q000000981:diagnostic imaging; D049268:Positron-Emission Tomography / Q000379:methods* / Q000706:statistics & numerical data; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods* / Q000706:statistics & numerical data
chemical_list: D003287:Contrast Media