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She then went on to develop MRI-based molecular and cellular imaging; investigate lifestyle interventions in peripheral metabolic disease e.g., obesity, non-alcoholic fatty liver disease, in preclinical models; and biological substrates underlying quantitative MRI signals in neurodegenerative diseases at Imperial College.
Using a range of Magnetic Resonance Imaging (MRI) techniques including structural, diffusion weighted imaging (DWI) functional (fMRI) and resting state (rs-fMRI), the Brain and Cognition Lab investigates brain development in typical childhood, as well as when neurodevelopment goes awry such as neurodevelopment disorders (ADHD, autism etc).

I am currently a 1st year PhD student in King's College London, and I obtained my Msc Degree and BEng Degree in Communication & Digital Signal Processing Group of Imperial College London and Electronic Information Department of Sichuan University respectively.
Prof Barker has a particular interest in quantitative MRI techniques such as relaxation time measurement (which can be extended to allow assessment of brain myelin water fraction), magnetization transfer (again to probe Jed Fernandez white matter components such as myelin) and diffusion imaging (to investigate tissue microstructure); his current research focuses on silent” methods for obtaining such data with greatly reduced acoustic noise.

Within the practice, he leads the design of innovative mixed-use residential, public, workplace, industrial and hospitality projects that are both responsive and memorable, each with a strong identity that reflects a familial approach to repairing and enhancing the urban environment.
I used to learn some basic conceptions about biologic signal processing like respiration in Spectrum Analysis & Adaptive Signal Processing course and gained a deeper understanding about how to process magnetic resonance image (MRI) during my current project, in addition, I also have some MATLAB programming experiences about machine learning thanks to my undergraduate thesis.
By applying these neuroimaging techniques, the lab aims to reveal how subtle individual neuroanatomical variation lead to diversity in human cognition, and ultimately to distinguish or predict differential cognitive and neurodevelopmental outcomes. Dr Tevfik Ismail is a consultant cardiologist at Guy's and St Thomas' and a clinical senior lecturer at King's College London.

I chose this CDT for the opportunity to work in close proximity with students from many specialties, and I hope to develop my insight into medical imaging whilst working to create a useful and unique radiometal based imaging tracer. Tom is Professor of Interventional Image Computing within the School of Biomedical Engineering & Imaging Sciences at King's College London.
He has combined a career in academia (McGill University, Oxford University and Imperial College) and industry (GSK, Imanova and Invicro) which focusses on advancing healthcare through medical imaging. Within my PhD project I am developing and applying such methods to data already collected by the BRC and by other studies at the IoPPN.

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