MCS3020- Research Project

Macular Thickness Diagnosis in 3DEnvironment

UNIVERSITY OF COLOMBO SCHOOL OF COMPUTING

SUPERVISED BY:

Dr. Prasad Wimalaratne

S.W.K.P. Abeysinghe 2009MCS002

STUDENT:

Sections Introduce research domain Aims & Objectives Literature Review Design & Methodology Limitations Future work

OCT (Optical coherence tomography)Captures micrometer-resolution,

three-dimensional images from within optical scattering media (biological tissue)

Usages◦In ophthalmology – Obtained detail

images within the retina.◦In cardiology – Help diagnose

coronary artery disease.

World Health Organization (WHO) (Fact sheet,2013)There are 285 million people are

estimated to be visually impaired in worldwide and about 90% of them live in developing countries.

80% of all visual impairment can be avoided or cured if it identifies as early as possible.

This is possible through OCT reports in ophthalmology.

ProblemNot all medical centers /

hospitals having OCT scanning facility.

Doctor needs to identifies the disease using the printed report.

Manually needs to keep patient report history.

Comparison can be done by checking each reports manually.

AimCreate a platform independent

3D eye diagnosing tool.◦Show the report as a 3D model and

let doctors easily diagnose.◦Let doctors to compare multiple

scans at once within a single view.◦Keep patient’s OCT report history.

ObjectivesIdentify each color thickness in

each OCT machine from the false-color representation in the report.

Model 3D image on the report using the OCT machine color thickness map.

Produce a simple, light weight DBMS to handle and keep scanned data of the patient.

Literature Review On various OCT scan based 3D eye diagnosing

products. On how to examine each OCT machine thickness

based color map. On various data structures to handle functionality of

the color map. On color comparison techniques to identify thickness

from the color map. On various 3D modeling tools. On various DBMS to store data and image/pdf storing

techniques. On various techniques to improve the product external

and internal qualities like correctness, performance, robustness, reusability and maintainability etc.

Sample OCT reportInputs

◦ILM-RPE view◦Color map

Design & MethodologyThickness Map Generation by

Color

Design & Methodology Cont…Thickness color map generator

Design & Methodology Cont…Report thickness identification

using color map◦Need to compare the most suitable

color with the color map◦Use the formula of ;

Low-cost approximation with gamma correction

Design & Methodology Cont…OCT report thickness

identification

Design & Methodology Cont…System architecture

Business layer class diagram

Storage structure

LimitationsLimited number of OCT report

samples available due to the personal information of the patient.

Color scales/ color maps will differ by the OCT machine.

If OCT report was not in a good quality then there might have some thickness identification issues.

Future Work Can be use more advanced image processing

technologies to increase performance of the 3D modelling tool.

Increase security options and advanced features like the report comparison to be handled in parallel with multiple users.

Develop this product to use in mobile devices. With the time of the usage has been increased of the

system, a data mining module can be developed. Report generation and email can also be provided to the

user. All the business components are made generic way,

hence this system also supports to developed to handle other OCT based examinations.

Finally, user interface can also be improved.

Thank You.