6533b7d1fe1ef96bd125ce03
RESEARCH PRODUCT
AUTOMATIC QUALITY ENHANCEMENT AND NERVE FIBRE LAYER ARTEFACTS REMOVAL IN RETINA FUNDUS IMAGES BY OFF AXIS IMAGING
Luca GiancardoKenneth W. TobinFabrice MeriaudeauT.p. KamowskiY. LiEdward Chaumsubject
Computer scienceImage quality0206 medical engineeringImage registration02 engineering and technologyFundus (eye)030218 nuclear medicine & medical imaginglaw.inventionCamera lens03 medical and health scienceschemistry.chemical_compoundImage restoration0302 clinical medicinelawHistogrammedicineImage qualityComputer visionRetinopathyImage resolutionImage restorationImage registrationRetinabusiness.industryDiabetesRetinalmedicine.disease020601 biomedical engineeringLens (optics)medicine.anatomical_structurechemistryArtificial intelligencesense organsbusinessRetinopathydescription
International audience; Retinal fundus images acquired with non-mydriatic digital fundus cameras are a versatile tool for the diagnosis of various retinal diseases. Even with relative ease of use, the images produced sometimes suffer from reflectance artefacts mainly due to the nerve fibre layer (NFL) or camera lens related reflections. We propose a technique that employs multiple fundus images to obtain a single higher quality image without these reflectance artefacts, which also compensates for a suboptimal illumination. The removal of bright artefacts, can have great benefits for the reduction of false positives in the detection of retinal lesions by automatic systems or manual inspection. The fundus images are acquired by changing the stare point of the patient but keeping the camera fixed. Between each shot, the apparent shape and position of all the retinal structures that do not exhibit isotropic reflectance (e.g. bright artefacts) change. This physical effect is exploited by our algorithm.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-09-01 |