Paper Info
Title
Irregular motion recovery in fluorescein angiograms
Abstract
Fluorescein angiography is a common procedure in ophthalmic practice, mainly to evaluate vascular retinopathies and choroidopathies from sequences of ocular fundus images. In order to compare the images, a reliable overlying is essential. This paper proposes some methods for the recovery of irregular motion in fluorescein angiograms (FA). The overlying is done by a three step procedure: detection of relevant points, matching points from different images and estimation of the assumed linear geometric transformation. A stochastic model (closely related to the general linear model) allows to fuse the second and third steps. Two different estimators of the geometric transformation are proposed and tested with real FAs. Images from choroido-retinal diseases have been analysed: diabetic retinopathy, vein occlusions and choroidal neovascular membrane. Results have been evaluated using a different number of relevant points with different spatial arrangements. Registration accuracy is evaluated as the mean squared error between real and transformed relevant point locations for those points not used to estimate the transformation.
Year
DOI
Venue
1997
10.1016/S0167-8655(97)00081-0
Pattern Recognition Letters
Keywords
Field
DocType
fluorescein angiography,irregular motion recovery,fluorescein angiograms,medical image registration,motion estimation,general linear model,mean square error,stochastic model,point location
Computer vision,Pattern recognition,General linear model,Fundus (eye),Fluorescein angiography,Mean squared error,Geometric transformation,Artificial intelligence,Stochastic modelling,Motion estimation,Mathematics,Estimator
Journal
Volume
Issue
ISSN
18
9
Pattern Recognition Letters
Citations 
PageRank 
References 
7
1.14
3
Authors
6
Name
Order
Citations
PageRank
Juan Domingo13319258.54
G. Ayala2163.55
A. Simó310211.24
E. De Ves41197.62
L Martínez-Costa5324.97
P. Marco671.14