Publication detail
Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy
KOLÁŘ, R. HARABIŠ, V.
Original Title
Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy
English Title
Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy
Type
conference proceedings
Language
en
Original Abstract
This paper describes a new method for detection biffurcation points of retinal vascular tree. This approach uses Hessian matrix for blood vessel segmentation, followed by morphological thinning and binary matched filtering. Thesebifurcation points are consequently used as landmarks for rigid image registration based on the iterative closest point method. Registered images were used for simple analysis with the aim to enhance the new pathologies in analyzed image sequence.
English abstract
This paper describes a new method for detection biffurcation points of retinal vascular tree. This approach uses Hessian matrix for blood vessel segmentation, followed by morphological thinning and binary matched filtering. Thesebifurcation points are consequently used as landmarks for rigid image registration based on the iterative closest point method. Registered images were used for simple analysis with the aim to enhance the new pathologies in analyzed image sequence.
Keywords
Diabetic retinopathy, landmark registration, feature detection, blood vessel segmentation
Released
07.09.2009
Publisher
Springer
ISBN
978-3-642-03881-5
Book
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
Edition number
25/IV
Pages from
251
Pages to
254
Pages count
4
Documents
BibTex
@proceedings{BUT65676,
author="Radim {Kolář} and Vratislav {Harabiš}",
title="Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy",
annote="This paper describes a new method for detection biffurcation points of retinal vascular tree. This approach uses Hessian matrix for blood vessel segmentation, followed by morphological thinning and binary matched filtering. Thesebifurcation points are consequently used as landmarks for
rigid image registration based on the iterative closest point method. Registered images were used for simple analysis with the aim to enhance the new pathologies in analyzed image sequence.",
address="Springer",
booktitle="World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany",
chapter="65676",
institution="Springer",
year="2009",
month="september",
pages="251--254",
publisher="Springer",
type="conference proceedings"
}