title: Automatic geometrical registration of fluorescein retinal angiograms.
abstract: Changes in retinal microvascular perfusion revealed by fluorescein angiography have been reported in patients undergoing coronary artery surgery. Quantification of these changes is important and current techniques depend on careful visual inspection of the angiograms by humans. Computer image processing methods can be used to identify and highlight differences, but geometrical registration of the images is a prerequisite to the comparisons. Automatic methods for locating and matching reference points have therefore been developed. In combination with an iterative process which used least-squares error to calculate the transformation coefficients, subsets of reference points were selected and used to register successfully 20 image pairs.
authors.affiliation: Department of Medical Physics, Royal Postgraduate Medical School, Hammersmith Hospital, London, England.
authors.forename: R
authors.initials: R
authors.lastname: Jagoe
authors.forename: C I
authors.initials: CI
authors.lastname: Blauth
authors.forename: P L
authors.initials: PL
authors.lastname: Smith
authors.forename: J V
authors.initials: JV
authors.lastname: Arnold
authors.forename: K
authors.initials: K
authors.lastname: Taylor
authors.forename: R
authors.initials: R
authors.lastname: Wootton
mesh_terms: D001026:Coronary Artery Bypass / Q000379:methods; D005451:Fluorescein Angiography / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008432:Mathematical Computing; D011859:Radiography; D012171:Retinal Vessels / Q000000981:diagnostic imaging*