Martin Svejda

• Linux system administration
• Medical image processing
• Research
• Computer cluster administration
• Basic programming in Python, Java, JavaScript and Bash scripting

BSc (Hons.) Computer Science - Birmingham City University

Characterisation of algorithms for processing of medical MR Imaging

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. Portion of this research will characterise and observe differences in the performance, measured as the overlap between images, of state-of-the-art co-registration algorithms used in VBM on human brain Magnetic Resonance Imaging (MRI) data. 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 ongoing 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. This is a subject to change over the course of the research period. Other image sequences will also be considered as an input in further research.

• Dr Roger Tait
• Dr Shereen Fouad
• Prof. Mohamed Gaber

• LinkedIn
• ResearchGate