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).

Research paper titled “BIOMISA Retinal Image Database for Macular and Ocular Syndromes” related to this project has been accepted in ICIAR-2018
Following papers from this project have been published in impact factor journal:
1) Khalil, Tehmina, Usman Akram, Hina Raja, Amina Jameel, and Imran Basit. “Detection of Glaucoma using Cup to Disc Ratio from Spectral Domain Optical Coherence Tomography Images.” IEEE Access (2018). [Impact factor: 3.24]
2) Samina Khalid, Muhammad Usman Akram, Taimur Hassan, Amina Jameel, Tehmina Khalil, Automated segmentation and quantification of drusen in fundus and optical coherence tomography images for detection of ARMD, Journal of Digital Imaging, 2017 [Impact factor: 1.407]
CASE received 12.4M PKR funding from IGNITE for project titled “OCT Image Analysis System for Grading and Diagnosis of Retinal Diseases and its Integration in i-Hospital”

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:

Team Members:

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