Dr Lauriane Jugé


Postdoctoral fellow

+612 9399 1891

Dr Lauriane Jugé completed her PhD in Medical Imaging (2012, France) during which she developed novel Magnetic Resonance Imaging (MRI) biomarkers for assessing the efficacy of anti-tumor therapies. She joined NeuRA in 2012 as a Postdoctoral Research Fellow to continue to develop new imaging biomarkers to improve the diagnosis of various disorders using MRI.

She conducts pioneering research in Magnetic Resonance Elastography (MRE) of neurological disorders and various diseases in humans and animal models. MRE is a recent MRI technique that measures the mechanical properties of soft tissues. In addition to her MRE expertise, Dr. Jugé is also trained in multi-modal MR imaging techniques (applied to animals and humans and different types of tissues) including anatomical, tagging, perfusion and diffusion MRI. Finally she is currently gaining additional training in MR spectroscopy (MRS).

Currently, Dr. Jugé’s research focuses on 1) developing new imaging biomarkers, on the basis of various tissues biomechanics, to improve the differentiation of various underlying causes of injury (e.g hydrocephalus, colon and liver tumors (PhD thesis), muscle atrophy, stroke).

2) Development of multi-modal imaging biomarkers to better characterize different sleep apnea phenotypes and related treatment outcomes.

3) Determine the neurochemical changes associated with aging and HIV-related brain injury using MRS.
She is a member, co-founder and organizer and of the multi-center NeuRA MRI seminar series here.

Projects Dr Lauriane Jugé is currently involved with


Obstructive Sleep Apnoea Imaging

We have developed novel imaging methods to measure the stiffness and movement of the upper airway muscles, and are using these together with measures of pharyngeal sensation, and electromyography to determine the patient-specific causes of obstructive sleep apnoea. We aim to use this information to tailor treatments for patients. One such treatment is a mandibular advancement splint, but currently it’s not possible to predict who will benefit from use a splint. We have a major project that aims to predict splint treatment outcome, based on our novel imaging methods.• Honours and PhD projects are available to study the neural, biomechanical and physiological aspects of obstructive sleep apnoea, including computational modelling


Obstructive Sleep Apnoea Imaging

Magnetic resonance elastography

We have developed new MRI methods to measure the mechanical properties of soft tissues (Magnetic Resonance Elastography or MRE). So far, MRE has been used to measure the stiffness of the brain, muscles and other tissues. We continue to develop new approaches, such as combining elastography with Diffusion Tensor Imaging to measure the anisotropic properties of muscles and brain white matter tracts, and how this changes in muscle and neurological disorders. We have discovered that there are changes in tissue stiffness in hydrocephalus (a brain disorder), obstructive sleep apnoea, and degenerative muscle conditions (muscular dystrophy). We are currently working on new methods to measure tissue properties under loading. Honours and PhD projects are available both for developing new methods (to suit engineers and physicists) or in applying these techniques to study clinical disorders.


Magnetic resonance elastography


Hydrocephalus is a neurological disorder where the ventricles in the brain enlarge, often due to obstruction to cerebrospinal fluid flow pathways in the brain. However, the biological and biomechanical mechanisms are not well understood, and treatment is currently unsatisfactory, with patients undergoing multiple shunt surgeries. We are studying how brain stiffness and oedema are involved in the development of hydrocephalus, using magnetic resonance imaging, computational modelling and experimental models of hydrocephalus. Honours and PhD projects are available to study the biomechanical and basic biological mechanisms of hydrocephalus, using magnetic resonance imaging, experimental and computational modelling.




Katie Pelland

KATIE PELLAND Visiting PhD student

Rob Lloyd

ROB LLOYD PhD student

Lauriane Juge

DR LAURIANE JUGE Postdoctoral fellow

Elizabeth Clarke

DR ELIZABETH CLARKE Visiting postdoctoral fellow

Elizabeth Brown

DR ELIZABETH BROWN Postdoctoral fellow

Alice Hatt

ALICE HATT Research assistant

Alice Pong

ALICE PONG PhD student

Fiona Knapman

FIONA KNAPMAN Research assistant

Peter Burke

DR PETER BURKE Postdoctoral fellow