A Mobile Computer Aided System for Optic Nerve Head Detection

Système mobile d'aide à la détection de la tête du nerf optique

Yaroub Elloumi (1) , Mohamed Akil (2) , Nasser Kehtarnavaz (3)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 Algorithms, architectures, image analysis and computer graphics
3 ECE - Department of Electrical and Computer Engineering - University of Texas

Background and objective - The detection of optic nerve head (ONH) in retinal fundus images plays a key role in identifying Diabetic Retinopathy (DR) as well as other abnormal conditions in eye examinations. This paper presents a method and its associated software towards the development of an Android smartphone app based on a previously developed ONH detection algorithm. The development of this app and the use of the d-Eye lens which can be snapped onto a smartphone provide a mobile and cost-effective computer-aided diagnosis (CAD) system in ophthalmology. In particular, this CAD system would allow eye examination to be conducted in remote locations with limited access to clinical facilities. Methods - A pre-processing step is first carried out to enable the ONH detection on the smartphone platform. Then, the optimization steps taken to run the algorithm in a computationally and memory efficient manner on the smartphone platform is discussed. Results - The smartphone code of the ONH detection algorithm was applied to the STARE and DRIVE databases resulting in about 96% and 100% detection rates, respectively, with an average execution time of about 2 s and 1.3 s. In addition, two other databases captured by the d-Eye and iExaminer snap-on lenses for smartphones were considered resulting in about 93% and 91% detection rates, respectively, with an average execution time of about 2.7 s and 2.2 s, respectively.

Domaines: Imagerie médicale

Yaroub Elloumi, Mohamed Akil, Nasser Kehtarnavaz. A Mobile Computer Aided System for Optic Nerve Head Detection. Computer Methods and Programs in Biomedicine, 2018, ⟨10.1016/j.cmpb.2018.05.004⟩. ⟨hal-01796762⟩