Accepting PhD Students

PhD projects

Magnetic Resonance Imaging (MRI) represents the gold standard for radiological diagnosis and monitoring of brain disorders. My research aims to address the following critical problems: Problem 1: How to measure pathological and reparative changes in axonal myelination? Problem 2: How to measure loss of axons? Problem 3: How to identify stressed neurons that are at risk of degeneration? Problem 4: How to classify pathology and stratify patients? Problem 5: How to identify pathological and reparative changes in large scale brain networks? Problem 6: How to translate new imaging biomarkers into radiological practice?

20052022

Research output per year

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Personal profile

Biography

I am a research fellow in the Department of Neuroscience at the Monash University Central Clinical School. My research uses computational analysis of magnetic resonance imaging (MRI) data to study brain structure and function. I am particularly interested in understanding how the brain's of people with multiple sclerosis (MS) adapt to damage to maintain cognitive and motor functions for longer.

I have over 10 years of experience in developing techniques for measuring damage to the central nervous system using MRI. I focus on quantifying neuronal damage, altered neurochemistry and physiology using a combination of approaches including diffusion, phase, sodium and functional MRI. I have experience working with preclinical and human 3/7 Tesla MRI systems including sequence optimisation, scanner operation, data management, analysis and informatics for large scale cohort studies. 

Education/Academic qualification

Neuroscience, PhD

BSc (Hon)

External positions

Honorary Fellow, Florey Institute of Neuroscience and Mental Health

Honorary Fellow, University of Melbourne

Research area keywords

  • Magnetic Resonance Imaging
  • multiple sclerosis
  • neuroscience

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Projects

Research Output

Compressed sensing effects on quantitative analysis of undersampled human brain sodium MRI

Blunck, Y., Kolbe, S. C., Moffat, B. A., Ordidge, R. J., Cleary, J. O. & Johnston, L. A., 1 Mar 2020, In : Magnetic Resonance in Medicine. 83, 3, p. 1025-1033 9 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Extracting more for less: multi-echo MP2RAGE for simultaneous T1-weighted imaging, T1 mapping, R2∗ mapping, SWI, and QSM from a single acquisition

Sun, H., Cleary, J. O., Glarin, R., Kolbe, S. C., Ordidge, R. J., Moffat, B. A. & Pike, G. B., Apr 2020, In : Magnetic Resonance in Medicine. 83, 4, p. 1178-1191 14 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Functional neuroplasticity in response to cerebello-thalamic injury underpins the clinical presentation of tremor in multiple sclerosis

Boonstra, F. M. C., Noffs, G., Perera, T., Jokubaitis, V. G., Vogel, A. P., Moffat, B. A., Butzkueven, H., Evans, A., van der Walt, A. & Kolbe, S. C., May 2020, In : Multiple Sclerosis Journal. 26, 6, p. 696-705 10 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

A continuum of T2* components: Flexible fast fraction mapping in sodium MRI

Syeda, W., Blunck, Y., Kolbe, S., Cleary, J. O. & Johnston, L. A., 1 Jun 2019, In : Magnetic Resonance in Medicine. 81, 6, p. 3854-3864 11 p.

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)