Elham Taghizadeh

I am working on predicting the shape of the patient's bone before it has been affected by an orthopedic disease such as osteoarthritis. To solve this problem, I am building a statistical model representing the shape variations of healthy bones in the population. The model is then fitted to the healthy portion of the patient's bone to predict the missing parts affected by disease.

In the total knee replacement surgery, the diseased parts of the bones are trimmed and replaced with implants. In this surgery the best possible treatment strategy varies from patient to patient. The goal of my thesis was to devise a an automatic system that predicts the outcome of surgery based on pre-operative images. To design such a system, I used different image processing and machine learning techniques such as image registration, statistical shape modeling, and the random forest algorithm.

Medical Image Analysis and Computational Biomedical Engineering

Computer Vision and Pattern Recognition

Software Engineering