A semi-automatic computer aided system for spine diagnosis

This project aims at developing a semi-automatic computerized system for spine diagnosis. It improves the efficiency and the efficacy of the image based spine diagnostic procedure. The development of the system is grounded on the state-of-the-art computer vision algorithm “Optimally Oriented Flux”. Based on this algorithm, I tailor various mathematical formulations to mimic human experts to perform, or help perform image-based spine diagnosis.

To best of our knowledge, this is the first system in the world focusing on semi-automatic computerized spine diagnosis. The contribution of this system is twofold. It gives significant technical advancement in the computer vision and mathematics aspects. It also offers a practical diagnostic system which can greatly reduce radiologists’ time for diagnosis, suppress human errors and provide more clinical information to facilitate the current diagnosis work-flow.

Faculty Supervisor:

Andrew Leung

Student:

Partner:

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology

University:

Western University

Program:

Accelerate