title: Microcomputer software applied to corneal stromal biometry.
abstract: Here we report a new method for image analysis of the corneal stroma. To obtain the biometric characteristics of a given area, we perform three different treatments of the same image. These automated predictions closely match each parameter (length, surface area, etc.), as measured manually by a "blind investigator." Furthermore, to obtain quantifiable, average values, we have increased the number of successive image measurements, which has led to the development of a series of programs designed to optimize automated data handling. Finally, the acquired, calculated parameters are summarized in the form of intermediate tables for each series of images, and as a final summary table incorporating t-test values and permitting comparison between two stromas (e.g., normal and pathological). Multivariate analysis and an ascending hierarchical classification demonstrate the main trends in differences of pathological vs. normal stroma.
authors.affiliation: INSERM U. 86, Hôtel-Dieu, Paris, France.
authors.forename: I
authors.initials: I
authors.lastname: Karpouzas
authors.forename: J P
authors.initials: JP
authors.lastname: Durand
authors.forename: N
authors.initials: N
authors.lastname: Keller
authors.forename: M
authors.initials: M
authors.lastname: Savoldelli
authors.forename: Y
authors.initials: Y
authors.lastname: Pouliquen
mesh_terms: D000465:Algorithms; D001699:Biometry; D003094:Collagen / Q000648:ultrastructure; D015715:Corneal Edema / Q000473:pathology; D003319:Corneal Stroma / Q000648:ultrastructure*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008838:Microcomputers; D015999:Multivariate Analysis; D015203:Reproducibility of Results; D012984:Software
chemical_list: D003094:Collagen