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Investigating MRI-based iron pattern variations in Alzheimer's disease

The already extensive burden of Alzheimer’s disease to patients, the community, and health systems is destined to increase along with our aging population.

Aims

To use Quantitative Susceptibility Mapping (QSM) processing of MRI images from control subjects and people with Alzheimer's disease to quantify patterns of iron changes in regional brain areas.

Recent work has found that iron biochemical changes in Alzheimer’s disease may be therapeutically targetable. Brain iron can be quantified using modern MRI techniques. This project will apply advanced image processing methods on quantitative MRI scans collected on people with cognitive decline and Alzheimer's disease. The aim of this study is to better identify patterns of biochemical changes (like iron) in an Alzheimer's brain. This project will involve training in coding with python and R, and given the focus of this project on analytics this will ensure that COVID restrictions will unlikely impact on its progress.

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