title: Retinal image registration and comparison for clinical decision support.
abstract: BACKGROUND
  For eye diseases, such as glaucoma and age-related macular degeneration (ARMD), involved in long-term degeneration procedure, longitudinal comparison of retinal images is a common step for reliable diagnosis of these kinds of diseases.
  
  
  OBJECTIVE
  To provide a retinal image registration approach for longitudinal retinal image alignment and comparison.
  
  
  METHODS
  Two image registration solutions were proposed for facing different image qualities of retinal images to make the registration methods more robust and feasible in a clinical application system.
  
  
  RESULTS
  Thirty pairs of longitudinal retinal images were used for the registration test. The experiments showed both solutions provided good performance for the accurate image registrations with efficiency.
  
  
  CONCLUSIONS
  We proposed a set of retinal image registration solutions for longitudinal retinal image observation and comparison targeting a clinical application environment.
authors.affiliation: The Australian e-Health Research Centre, CSIRO.
authors.forename: Di
authors.initials: D
authors.lastname: Xiao
authors.forename: Janardhan
authors.initials: J
authors.lastname: Vignarajan
authors.forename: Jane
authors.initials: J
authors.lastname: Lock
authors.forename: Shaun
authors.initials: S
authors.lastname: Frost
authors.forename: Mei-Ling
authors.initials: ML
authors.lastname: Tay-Kearney
authors.forename: Yogesan
authors.initials: Y
authors.lastname: Kanagasingam
keywords: ARMD; Glaucoma; Retinal image registration; clinical decision support