Towards the computer-aided diagnosis of dementia based on the geometric and network connectivity of structural MRI data
Smith, G., Stoyanov, Z., Vukadinovic Greetham, D., Grindrod, P. and Saddy, D.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: http://caddementia.grand-challenge.org/workshop/ Abstract/SummaryWe present an intuitive geometric approach for analysing the structure and fragility of T1-weighted structural MRI scans of human brains. Apart from computing characteristics like the surface area and volume of regions of the brain that consist of highly active voxels, we also employ Network Theory in order to test how close these regions are to breaking apart. This analysis is used in an attempt to automatically classify subjects into three categories: Alzheimer’s disease, mild cognitive impairment and healthy controls, for the CADDementia Challenge.
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