Evaluation of recurrent glioma and Alzheimer’s disease using novel multimodal brain image processing and analysis

dc.contributor.author	Leatherday, Christopher
dc.contributor.supervisor	Dr Andrew Campbell
dc.contributor.supervisor	Dr Roger Price
dc.contributor.supervisor	Dr Brendan McGann
dc.date.accessioned	2017-01-30T10:19:22Z
dc.date.available	2017-01-30T10:19:22Z
dc.date.created	2016-09-09T06:13:35Z
dc.date.issued	2016
dc.identifier.uri	http://hdl.handle.net/20.500.11937/2238
dc.description.abstract	Novel analysis techniques were applied to two different sets of multi-modality brain images. Localised metabolic rate within the hippocampus was assessed for its ability to differentiate between groups of healthy, mildly cognitively impaired, and Alzheimer’s disease brains, and an investigation of its potential clinical diagnostic utility was conducted. Relative uptake and retention of two PET tracers (11Carbon Methionine and 18Fluoro Thymidine) in a post-treatment glioma patient cohort was utilized to perform survival prediction analysis.
dc.language	en
dc.publisher	Curtin University
dc.title	Evaluation of recurrent glioma and Alzheimer’s disease using novel multimodal brain image processing and analysis
dc.type	Thesis
dcterms.educationLevel	PhD
curtin.department	Department of Physics and Astronomy
curtin.accessStatus	Open access