Intelligent Algorithms to Detect Blood Flow with Optical Imaging
Optical coherence tomography (OCT) is a high resolution optical imaging technology which is rapidly growing in importance in medical imaging.
Our group has developed some of the world’s smallest medical imaging probes, capable of acquiring images deep within the body. One important use of this technology is to detect the presence of blood vessels during surgery.
This project will develop sophisticated software algorithms to automatically detect blood vessels in OCT data. The project will require the student to gain a deep understanding of the physics underlying OCT imaging, and to implement algorithms in Matlab to detect blood vessels in real-world medical data.
Prerequisites: The student must have experience programming with Matlab and a strong background in mathematics and optics. Experience in other programming languages is also desirable.
Supervisors
- Professor Robert McLaughlin | Dr Jiawen Li
- Research Area: Optics, lasers and photonics - optics applications
- Recommended honours enrolment: Honours in Physics