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We are collaborating with clinical colleagues to develop novel MRI acquisition and analysis methods that address the wide spectrum of cerebrovascular disease.

Member of the public? Check out the video at the bottom of this page.

Cerebrovascular disease research is a growing interdisciplinary strength at Oxford, particularly with the opening of the Acute Vascular Imaging Centre (AVIC) in 2012. The FMRIB Physics Group is at the heart of this effort to initiate a neurovascular imaging research programme, developing methods that aim to improve diagnosis and treatment of diseases such as stroke, atherosclerosis and arteriovenous malformation. We are focusing on the development of non-invasive techniques to visualise both blood supply to the brain and alterations in tissue metabolism that result from blood flow disruption.

One area of focus is the use of a technique called arterial spin labelling (ASL) to non-invasively ”tag" the blood and subsequently visualise its passage through the arteries and into the brain tissue. We are developing methods which optimise the quantification of perfusion in the minimum possible time, allow simultaneous visualisation of blood flow within blood vessels and into the tissue, and separately identify the blood flow arising from individual vessels in the neck. This enables us to see whether narrowing or blockage of an artery is being compensated for by other arteries. We are also developing a related technique to allow the estimation of how much oxygen is being extracted from the blood in specific areas of the brain. Increased oxygen extraction can be indicative of tissue that is struggling to receive sufficient blood supply to meet its metabolic demand.

These approaches are being used in conjunction with a novel technique based on chemical exchange saturation transfer (CEST), which gives information about the chemical environment within the brain tissue. We are primarily using this technique to estimate tissue pH, which shows promise as a sensitive marker of metabolic stress and therefore tissue at increased risk of damage.

Finally, we are also developing methods to efficiently remove the signal arising from blood, enabling much clearer images of the vessel walls to be obtained. This will aid characterisation of atherosclerotic plaques, which can lead to the formation of a blood clot. These blood clots can block the artery entirely, or break free and block a smaller artery downstream, potentially causing a stroke.

View our publications.

This research is conducted as part of the Physics Group at the Wellcome Centre for Integrative Neuroimaging.

Below: Sophie Schaumann explains her work developing new ways to visualise blood vessels.


Selected publications

A general framework for optimizing arterial spin labeling MRI experiments

Journal article

Woods JG. et al, (2019), Magnetic Resonance in Medicine, 81, 2474 - 2488

Visualizing artery‐specific blood flow patterns above the circle of Willis with vessel‐encoded arterial spin labeling

Journal article

Okell TW. et al, (2019), Magnetic Resonance in Medicine, 81, 1595 - 1604

Dual regression physiological modeling of resting-state EPI power spectra: Effects of healthy aging

Journal article

Viessmann O. et al, (2019), NeuroImage, 187, 68 - 76

Combined angiography and perfusion using radial imaging and arterial spin labeling

Journal article

Okell TW., (2019), Magnetic Resonance in Medicine, 81, 182 - 194

Quantification of Serial Cerebral Blood Flow in Acute Stroke Using Arterial Spin Labeling

Journal article

Harston GWJ. et al, (2017), Stroke, 48, 123 - 130

Investigating white matter perfusion using optimal sampling strategy arterial spin labeling at 7 Tesla

Journal article

Gardener AG. and Jezzard P., (2015), Magnetic Resonance in Medicine, 73, 2243 - 2248

Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging

Journal article

Harston GWJ. et al, (2015), Brain, 138, 36 - 42

Black-Blood Multicontrast Imaging of Carotid Arteries with DANTE-prepared 2D and 3D MR Imaging

Journal article

Li L. et al, (2014), Radiology, 273, 560 - 569

Cerebral Blood Flow Quantification Using Vessel-Encoded Arterial Spin Labeling

Journal article

Okell TW. et al, (2013), Journal of Cerebral Blood Flow & Metabolism, 33, 1716 - 1724