Advances in Brain Imaging Event as iCalendar

27 September 2018

10 - 11:30am

Venue: CBR Seminar Room 501-505

Location: Faculty of Medical and Health Sciences

Host: Centre for Brain Research

Contact email:

Overview of diffusion-weighted imaging (DWI, DTI) and Quantitative Susceptibility Mapping (QSM)
Dr Samantha Holdsworth, Senior Lecturer, Anatomy and Medical Imaging

Diffusion-weighted MR imaging (DWI) is used in the diagnosis of conditions such as stroke, tumours, and others characterised by microstructural changes. Diffusion Tensor Imaging (DTI) can provide further insights into the microscopic architecture of the brain, including the orientation of large white matter pathways. Quantitative Susceptibility Mapping (QSM) is a relatively new contrast mechanism in MRI which is useful for identification and quantification of specific biomarkers including iron, calcium, gadolinium, and super paramagnetic iron oxide nano-particles. This talk will overview DWI, DTI, and QSM methodology and outline some clinical applications of these MRI methods.

Measuring Brain Perfusion and Blood Flow with MRI
Dr Catherine Morgan, Research Fellow, Psychology
Catherine will give an overview of Arterial Spin Labelling (ASL) MRI to measure tissue perfusion, current best practices and future directions including using ASL to assess the integrity of the blood-brain barrier without contrast agents.

4D-flow MRI is commonly used to study cardiac blood flow and vascular integrity, but has more recently been applied in the brain. This talk will give an overview of the 4D flow method and discuss some of the clinical applications.Dr Catherine Morgan, Research Fellow, Psychology

fMRI and pRF encoding techniques
Dr Sam Schwarzkopf, Associate Professor Optometry and Vision Science
Over the past decade, encoding models have become a popular tool in vision science for estimating the stimulus selectivity of fMRI voxels. Sam will describe a technique called population receptive field modelling and how this can be used to study atypical visual processing. Moreover, this approach allows the reconstruction of neural measures in stimulus space, which could help better understand how perceptual processes work in health and disease.