Detecting Early Choroidal Changes using Piecewise Rigid Image Registration and Eye-Shape Adherent Regularization

Ronchetti, Tiziano and Maloca, Peter and Jud, Christoph and Meier, Christoph and Orguel, Selim and Scholl, Hendrik P.N. and Povazay, Boris and Cattin, Philippe C.. (2017) Detecting Early Choroidal Changes using Piecewise Rigid Image Registration and Eye-Shape Adherent Regularization. In: 4th MICCAI Workshop Ophthalmic Medical Image Analysis (OMIA4). Cham.

Full text not available from this repository.

Official URL: https://edoc.unibas.ch/63985/

Downloads: Statistics Overview


Recognizing significant temporal changes in the thickness of the choroid and retina at an early stage is a crucial factor in the prevention and treatment of ocular diseases such as myopia or glaucoma. Such changes are expected to be among the first indicators of pathological manifestations and are commonly dealt using segmentation-based approaches. However, segmenting the choroid is challenging due to low contrast, loss of signal and presence of artifacts in optical coherence tomography (OCT) images. In this paper, we present a novel method for early detection of choroidal changes based on piecewise rigid image registration. In order to adhere to the eye’s natural shape, the regularization enforces the local homogeneity of the transformations in nasal-temporal (x-) and superior-inferior (y-) direction by penalizing their radial differences. We restrict our transformation model to anterior-posterior (z-) direction, as we focus on juvenile myopia, which correlates to thickness changes in the choroid rather than to structural alterations. First, the precision of the method was tested on an OCT scan-rescan data set of 62 healthy Asian children, ages 7 to 13, from a population with a high prevalence of myopia. Furthermore, the accuracy of the method in recognizing synthetically induced changes in the data set was evaluated. Finally, the results were compared to those of manually annotated scans.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Series Name:Lecture Notes in Computer Science book series (LNCS)
Issue Number:10554
Note:Publication type according to Uni Basel Research Database: Conference paper
Identification Number:
Last Modified:05 Jun 2018 14:44
Deposited On:05 Jun 2018 14:44

Repository Staff Only: item control page