AP007 » Low Cost Automated Diabetic Retinopathy Detection System
Effect of Diabetes on the eye is known as Diabetic Retinopathy which may lead to blindness in its furthermost stage. Highly skilled Doctors or Ophthalmologists use to inspect the patient's eye to detect the affectedness of this disease. But the amount of well-trained doctors is very less compare to drastically increasing amounts of patients. So proper treatment is nearly impossible. Plus also founding doctors in the remote locations is rarely possible. This Diabetic Retinopathy comes with no early symptoms. Only regular eye-checking need to be done to diagnosis it's starting affectedness. So we have planned to make an engineering-based solution making a standalone system which will do the primary diagnosis of the eye & suggest the patient the immediate precaution they need to take.
Here in this implementational research work we have used realtime image processing on medical image known as fundus image to detect disease stage based on features like amount of bloodvessels area, exudates area & microaneuryms area. Here the input image is of very large size. So the processing algorithm needs much more time to execute. So we need an approach for faster processing.
FPGA board provides faster processing by proving us a parallel processing hardware architecture. Altera DE10 Nano SoC FPGA device’s technology feature characteristics are greatly beneficial for prototype development because of its inbuilt SoC-FPGA alongwith its HPS core & low-power ARM core processor (Dual-core ARM* Cortex*-A9 MPCore processor at 800 MHz). The Neon™ media-processing engine with double-precision floating point unit is best of realtime fast image processing operation. FPGA's reconfigurability and reprogrammability allow possible future software / hardware updates such as algorithm's improvement.
Furthermore Altera FPGA’s software platform Quartus & many a user-friendly IPs are beneficial for a novice FPGA developers in developing Altera FPGA based standard system. This DE10- Nano Development board provides a daughter board "D5M MIPI Camera Module" which alongside with a customize designed lens will be suitable for our application specific high resolution realtime fundus image capturing. Also this DE10 Nano Development platform has HDMI output connectivity features so directly connect a display unit. Which greatly meets the criteria to create a prototype of our application based system development.
I'm also working on different stand-alone SBC (Single Board Computer) Platform like CPU based Raspberry Pi, Nvidia GPU based Jetson Nano Architectural Platform. So in future we can provide a detailed comparative detailed analysis in term of performance parameters.
Intel® FPGA University Program Channel also provides a lot for learning different development and education boards specific tutorials & exercise alongwith their state-of-the-art software tools.