Automated measurements of MRI spine images
Back pain is a major public health and economic problem. It is a very common debilitating condition that affects all ages but particularly those of working age and the elderly. Approximately 60% of adults have a significant episode of back pain at some point over their life.
The overall goal of this project is to improve and standardize MRI lumbar spine analysis. The objective is to employ modern computer vision and machine learning methods to automate diagnosis procedures by learning new measures on large image databases. We have access to a large database of spinal MR images (~2500 patients) with ground-truth radiologist measurements and associated clinical meta-data.
The short project will investigate automating the prediction of the radiological measurements using segmentation and machine learning.