OCT Image Analysis System for Grading and Diagnosis of Retinal Diseases and its Integration in i-Hospital

The project has been fully funded by Ignite National Technology Fund (formerly National ICT R&D Fund).
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Project Summary & Scope:

This project is the enhancement over our previously developed hospital management & information system (HMIS) which also includes the added feature of automatically analyzing fundus imagery for the possible detection of diabetic retinopathy (DR) and glaucoma. In this project, we have revamped our HMIS to be under full compliance with HL7 health standard through OpenMRS. Furthermore, we have added the support to automatically analyze 2D and 3D OCT imagery for detecting retinopathy along with the enhanced retinal visualization.

It is worth mentioning that this project along with its predecessor has won multiple gold and silver awards in the R&D category at Asia Pacific ICT Alliance Award (APICTA) and Pakistan Software Houses Association for IT and ITES (P@SHA).

Project Deliverable & Status:

No. Duration Milestone Deliverables Documents
1 03
  • Designing Annotation tool
  • Collection of OCT images and get the dataset annotated by ophthalmologist
  • Requirement gathering for improvement in existing medical record system
  • Designing web based telemedicine portal
  • Desktop application for Annotations and dataset generation
  • SRS for medical record system
  • A complete mock up for web based Telemedicine portal
  • Report on Team Hiring
  • Report on requirement gathering from AFIO
 pdf
2 06
  • OCT image preprocessing and layer segmentation
  • Webpage designing for Benchmark dataset including registration and download pages and also designing license sheet
  • Design of a general purpose database to save different types of data based on SRS
  • MATLAB API for Preprocessing and Layer Segmentation
  • Online Benchmark dataset
  • SQL based Database for medical record system
 pdf
3 09
  • Detection of macular edema
  • Conversion of preprocessing and layer segmentation Algorithms to high level language
  • Adding data sharing and audio chatting capabilities in Telemedicine
  • MATLAB API for edema detection
  • Incorporation of Layer Segmentation API in windows form desktop application
  • Telemedicine portal with working modules of data sharing and audio chatting
 pdf
4 12
  • Classification of Glaucoma using OCT images
  • Conversion of macular edema Algorithms to high level language
  • Adding real time screen casting capability along with video chatting
  • MATLAB API for glaucoma classification
  • Incorporation of Edema detection API Software in in windows form desktop application
  • Telemedicine portal with working modules of screen casting and video chatting
  • Equipment procurement report
 pdf

Software Developed:

Product Videos:

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Team Members:

View Project Team