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Characterisation of VBM Algorithms for Processing of Medical MRI Images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 11927 LNAI, Page: 443-448
2019
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Conference Paper Description

In Voxel-Based Morphometry (VBM), spatial normalisation is a major process which transforms images into a standard space and is often referred to as co-registration. This project is a comparison and observation of differences in the performance, measured as the overlap between images, of two co-registration algorithms used in VBM on human brain Magnetic Resonance Imaging (MRI) data. Here we show differences between genders and algorithms on specific regions of the brain using grey matter segments and unsegmented MRI images. Results show that there are significant differences in the overlap of regions depending on the algorithm which may be considered in addition to current knowledge on the subject. Importantly, we are interested in investigating what these differences mean to published and on-going research as well as observing whether said difference spans all the way to the Parahippocampal Gyrus and other important regions associated with psychological related diseases.

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