Sophie Schauman

I am a doctoral student at the Wellcome Centre for Integrative Neuroimaging at the University of Oxford, where I work in the physics group on developing novel MRI acquisition and reconstruction methods.

Main topics include Arterial Spin Labelling (ASL), and non-linear reconstruction methods.

I am supervised by Dr Tom Okell, Dr Mark Chiew, and Prof Peter Jezzard and funded by the Engineering and Physical Sciences Research Council through the Oxford-Nottingham Biomedical Imaging Centre for Doctoral Training.

I did my bachelors in Physics with Medical Physics at University College London.

CV  /  LinkedIn

My Work

Here are some examples of my research, public engagement tools, etc.

Accelerated Vessel-Encoded Arterial Spin Labeling Angiography
S. Sophie Schauman, Mark Chiew, Thomas W. Okell
ISMRM Annual Meeting, Montreal, Canada, 2019
abstract (login needed)

Vessel-encoded ASL can produce vessel-selective cerebral angiograms, but to separate blood from multiple arteries more images are needed than for standard ASL angiography, which increases scan time. Angiograms are however well suited for under-sampling and compressed sensing reconstruction because of their high intrinsic sparsity. In this work we demonstrate in-vivo that vessel-selective angiograms allow for higher acceleration factors, yielding comparable image quality to conventional angiography with matched scan time using 2D and 3D time-resolved golden angle radial acquisitions. With this optimised acquisition and reconstruction method, scan time of the 3D case can be reduced from 8:35 hours to ~5 minutes.

K-Space Simulator for Public Engagement
S. Sophie Schauman, Benjamin Tendler, Stuart Clare
Wellcome Centre for Integrative Neuroimaging (The Big Brain Roadshow), 2019
Medium, GitHub

The Big Brain Roadshow is part of the Public Engagement work done at WIN. As Public Engagement Ambassador, one of my projects was to create a stall for 13-16-year-old children to learn about some aspect of the work physicists do in neuroscience labs. We came up with a way of showing the children that any image can be built up of waves (Fourier basis). The tool we built is a Matlab script that can process images shown to a webcam in real-time and produce the 2D Fourier transform of that image. The simulator also works in reverse. If you show the camera an image of k-space, with the real component in one colour channel and the imaginary component in another, it shows the image that that k-space represents without changing any settings.


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