Optical Review

, Volume 24, Issue 2, pp 105–116 | Cite as

Spectrally optimal illuminations for diabetic retinopathy detection in retinal imaging

  • Piotr Bartczak
  • Pauli Fält
  • Niko Penttinen
  • Pasi Ylitepsa
  • Lauri Laaksonen
  • Lasse Lensu
  • Markku Hauta-Kasari
  • Hannu Uusitalo
Regular Paper

Abstract

Retinal photography is a standard method for recording retinal diseases for subsequent analysis and diagnosis. However, the currently used white light or red-free retinal imaging does not necessarily provide the best possible visibility of different types of retinal lesions, important when developing diagnostic tools for handheld devices, such as smartphones. Using specifically designed illumination, the visibility and contrast of retinal lesions could be improved. In this study, spectrally optimal illuminations for diabetic retinopathy lesion visualization are implemented using a spectrally tunable light source based on digital micromirror device. The applicability of this method was tested in vivo by taking retinal monochrome images from the eyes of five diabetic volunteers and two non-diabetic control subjects. For comparison to existing methods, we evaluated the contrast of retinal images taken with our method and red-free illumination. The preliminary results show that the use of optimal illuminations improved the contrast of diabetic lesions in retinal images by 30–70%, compared to the traditional red-free illumination imaging.

Keywords

Imaging systems Ophthalmology Ophthalmic optics and devices Medical optics instrumentation Illumination design Image enhancement 

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Copyright information

© The Optical Society of Japan 2017

Authors and Affiliations

  1. 1.School of Computing and Institute of PhotonicsUniversity of Eastern FinlandJoensuuFinland
  2. 2.Focus Action Ltd.YlöjärviFinland
  3. 3.Department of Ophthalmology, the SILK Research and Development Center for Ophthalmic Innovations, School of MedicineUniversity of TampereTampereFinland
  4. 4.Tays Eye CenterTampereFinland
  5. 5.Machine Vision and Pattern Recognition LaboratoryLappeenranta University of TechnologyLappeenrantaFinland

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