Primary Supervisor: Dr Xiaoming Zheng
Location: Wagga Wagga
Keywords: MRI Neuroimaging; Neural development; Alzheimer’s disease; Early AD detection; AD diagnosis.
Synopsis:
This project consists of two parts: Part 1 is focused on early detection and diagnosis of Alzheimer’s disease employing MRI structural images. FreeSurfer software is used for image processing and segmentation. Clinical evidence is used for feature selection. Signal detection theory, artificial neural network and Bayesian network are all being employed for network training and disease causal prediction. An imaging biomarker is currently being on clinical trial for early detection of Alzheimer’s disease. Part 2 is on early neural development upon nutritional intervention in collaboration with Prof Bing Wang of Gulbali Institute using animal model. Study focus is on changes of brain’s morphology, metabolites and neural transmitters concentrations using T1, T2, DTI images and MR spectroscopy.
URL link to relevant journal articles or website:
1. Zheng, X. (2024). Detection of Alzheimer’s disease using hybrid meta-ROI of MRI structural images. Diagnostics, 14, 2203.
2. Zheng, X., Cawood, J., Hayre, C., Wang, S. (2023). Computer assisted diagnosis of Alzheimer’s disease using statistical likelihood-ratio test. PLOS ONE, 18(2), e0279574.
Interested? Start the conversation here by contacting Dr Xiaoming Zheng