Elastic registration for auto-fluorescence image averaging.
The paper describes restitution of geometrical distortions and improvement of signal-to-noise ratio of auto-fluorescence retinal images, finally aimed at segmentation and area estimation of the lipofuscin spots as one of the features to be included in glaucoma diagnosis. The main problems - geometrical and illumination incompatibility of frames in the image sequence and a non-negligible "shear" distortion in the individual frames - have been solved by the presented registration procedure. The concept and some details of the MI-based regularized registration, together with evaluation of test results form the core of the contribution.
Kubecka
Libor
L
Dept. of Biomed. Eng., Brno Univ. of Technol. Brno, 61200, Czech Republic. kubecka@feec.vutbr.cz
Jan
Jiri
J
Kolar
Radim
R
Jirik
Radovan
R
D000465:Algorithms; D005451:Fluorescein Angiography / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D018613:Microscopy, Confocal / Q000379:methods*; D015203:Reproducibility of Results; D012171:Retinal Vessels / Q000166:cytology*; D042262:Retinoscopy / Q000379:methods*; D012680:Sensitivity and Specificity; D013382:Subtraction Technique