Using BV-norm to Classify the Vasculitis in Multiple Sclerosis Fundus Angiography for Ophthalmologists

Giang Bang Nguyen (1) , Daniel Delahaye (2) , Stéphane Puechmorel (3) , P. Marechal (4) , P. Olle (5)

1 IMT - Institut de Mathématiques de Toulouse UMR5219
2 MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
3 ENAC - Ecole Nationale de l'Aviation Civile
4 ISAE-SUPAERO - Institut Supérieur de l'Aéronautique et de l'Espace
5 CHU Toulouse - Centre Hospitalier Universitaire de Toulouse

Retinal diseases are causing alteration of the visual perception leading sometimes to blindness. For this reason early detection and diagnosis of retinal pathologies is very important. Using digital image processing techniques, retinal images may be analyzed quickly and computer-assisted diagnosis systems may be developed in order to help the ophthalmologists to make a diagnose. This paper describes the method using BV norm for classification of vasculitis fundus angiography. We propose a method to help ophthalmologists for the diagnosis of such autoimmune disease. Our study aimed to determine potential angiography details in intermediate uveitis helping to diagnose multiple sclerosis (MS).

Mots clés: vasculitis fundus angiography; multiple sclerosis

Domaines: Mathématiques générales [math.GM]; Imagerie; Organes des sens

Giang Bang Nguyen, Daniel Delahaye, Stéphane Puechmorel, P. Marechal, P. Olle. Using BV-norm to Classify the Vasculitis in Multiple Sclerosis Fundus Angiography for Ophthalmologists. Journal of Medical and Bioengineering, 2013, 2013 International Conference on Functional Biomedical Imaging (ICFBI), 2 (1), pp.11-15. ⟨10.12720/jomb.2.1.11-15⟩. ⟨hal-00918054⟩