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Research Project

Design and Development of Computer Aided Diagnosis of Eye Diseases (Diabetic Retinopathy & Glaucoma) and Watermarking of Medical Images for Tele-Ophthalmology

Collaborating Hospital: Venu Eye Institute and Research Centre, New Delhi

Funding Body: Department of Science & Technology (DST), New Delhi

Research Team:
Principal Investigator: Dr. Malay Kishore Dutta
Co - Principal Investigator: Mr. ParthaSarathiMangipudi
Research Persons: Ms. Anushikha Singh, Mr. Ashish Issac, Ms. NamitaSengar

Principal Investigator: M.K.Dutta
Prof Raj Rangayanm Computer Vision Scientist in the area of Fundus Imaging, University of Calgary, Canada, at research lab with Dr. M. K. Dutta Prof (Dr.) Michael Smith, leads collaborations in parallel computing, security, visualization and mobile computing, Director of the Intel Academic Program, USA at research lab with Dr. M. K. Dutta
Objectives of this Project:

The objective of the Project is to develop a technology which is entirely based on Image processing algorithms for automatic segmentation, analysis and watermarking of retinal images which will aid in diagnosis of retinal diseases (Glaucoma & Diabetic Retinopathy) and Tele-ophthalmology applications.

  • The overall objectives are given below:
    • Develop computer aided system & software for automatic segmentation and analysis of Medical fundus images including retina, optic disc and macula.
    • Develop software for automatic Identification of the Retinal image if it has signs of Diabetic Retinopathy. (Diabetic retinopathy is a serious disease causing incurable blindness)
      • Extraction of retinal abnormalities like microaneurysms, hemorrhages, exudates.
      • Labeling of blood vessels, microaneurysms, hemorrhages and exudates.
      • Classification into different levels of diabetic retinopathy.
    • Develop Software for automatic Identification of the Retinal Image if it has the signs of Glaucoma. (Glaucoma is a serious disease causing incurable blindness)
      • Extraction of the Optic nerve head (ONH).
      • Qualitative (e.g. Optic disc hemorrhages) and quantitative (e.g. Optic disk size, Optic Cup/Disk ratio) evaluation of Optic nerve head.
      • Classification into different stages and forming a Glaucoma Risk Index based on the analysis.
    • Develop Software for implementing Digital watermarking for Inserting basic patient information in medical images with no loss of Medical Information for secure transmission & storage in databases.
Visits by Foreign Delegates in this research lab.
  • (Dr.) Raj Rangayyan, Computer Vision Scientist in the area of Fundus Imaging, University of Calgary, Canada
  • (Dr.) RadimBurget, Computer Vision Scientist in Machine Learning Algorithms, Brno University of Technology, Czech Republic
  • (Dr.) KamilRiha, Computer Vision Scientist in Machine Learning Algorithms, Brno University of Technology, Czech Republic
  • Prof (Dr.) Michael Smith, leads collaborations in parallel computing, security, visualization and mobile computing, Director of the Intel Academic Program, USA
  • (Dr.) Sohini Roy Chowdhury, Assistant Prof, University of Bothell, Washington, USA
  • (Dr.) Carlos M. Travieso-Gonzalez, Vice-Dean, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, SPAIN
  • (Dr.) Zoran Ivanovski, Professor, St. Cyril and Methodius, University of Skopje, Republic of Macedonia

Fundus Image Acquisition System, Processing System and Basic prototype of Proposed Technology

Research Team demonstrating the developed Software for Retinal Disease Detection from Fundus Images