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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.
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