Neuroimaging Computing for Early Detection of Alzheimer’s Disease

Summary

The objective of this program is to investigate multi-modal neuroimaging data, especially the functional neuroimaging, to establish standardized computational methods for image-based early detection for Alzheimer's disease.

Supervisor(s)

Associate Professor Tom Weidong Cai

Research Location

Computer Science

Program Type

Masters/PHD

Synopsis

Alzheimer's desease (AD) is one of leading causes of disability burden in Australia. The incidence of Alzheimer's disease and its socioeconomic impacts are becoming increasingly influential. Currently, there is no cure for Alzheimer's disease and medical interventions can only slow down the progress if overt symptoms appear. Accurate diagnosis, especially early detection of Alzheimer's disease, is the most important step in treatment planning. Neuroimaging could assist us in clinical diagnosis of Alzheimer's disease also has a great potential in early detection of Alzheimer's disease.

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Keywords

Neuroimaging computing, early detection of Alzheimer's Disease, Medical Imaging, Image processing

Opportunity ID

The opportunity ID for this research opportunity is: 1882

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