Dr Warda Syeda is the Imaging Analysis Fellow at MBCIU, with research interests focused on developing processing and modelling techniques for ultra-high field MRI, such as quantitative susceptibility mapping (QSM) and sodium MRI. Prior to commencing this role, Dr Syeda led pre-clinical neuroimaging at the Melbourne Neuropsychiatry Centre, University of Melbourne. Dr Syeda’s interdisciplinary research aims to facilitate the clinical integration of advanced research in neuropsychiatric disorders, such as autism, schizophrenia and schizotypy disorders in children. She has a background in Electrical and Biomedical Engineering and provides expert contributions in methods development for advanced multivariate image processing and inference.
Joseph Bartlett is undertaking a joint PhD between the University of Melbourne and the University of Birmingham, funded by the Melbourne Research Scholarship. His research focus is on machine learning approaches for improved diffusion MRI. He has completed a Masters of Science in Artificial Intelligence and Machine Learning at the University of Birmingham and was awarded the Computer Science School Prize. He completed his Bachelor of Science in Mathematics at the University of Manchester.
Mara Quach is a PhD student in the Department of Biomedical Engineering, University of Melbourne. Her research is focused on Chemical Exchange Saturation Transfer (CEST) at ultra-high-field. Mara has a Bachelor of Biomedicine and a Master of Engineering from Melbourne University. In Addition to her current post Graduate studies, Mara works for the Alfred Research Alliance as a research assistant on preclinical imaging projects using diffusion-weighted MRI and QSM for application in motor neuron diseases, traumatic brain injury, and other disorders.
Gihan Ruwanpathirana is a PhD student in the Department of Biomedical Engineering. He focuses on reconstruction algorithms in PET imaging and machine learning in medical imaging. Prior to PhD, He completed his bachelor’s degree in Biomedical Engineering at the University of Moratuwa, Sri Lanka and worked as a research engineer in automating the detection of heart arrhythmias using the ECG signals.
Igor Tyshchenko is a PhD student in the Department of Biomedical Engineering. His research project investigates the parallel transmission capabilities in ultra-high field MRI. Prior to his PhD, Igor completed his Master of Engineering (Biomedical) at the University of Melbourne as well as his Bachelor’s degree in Biotechnical Sciences and Technologies at the Ural Federal University, Russia.
Chengchuan is doing a joint PhD between the University of Melbourne and the Jülich Research Centre, Germany. His research focuses on sodium MRI of the human brain at ultra-high field. Prior to his PhD, Chengchuan got a Master of Engineering degree from the University of Melbourne and a Bachelor of Biomedical Engineering degree from Sun Yat-sen University, China.
Siemens 7 Tesla MRI Scanner
Our Siemens Magnetom 7 Tesla Ultra High Field Magnetic Resonance Imaging scanner is one of only two in Australia. This state of the art scanner provides unprecedented image quality allowing acquisition of non-invasive structural, functional and molecular information at exquisite spatial and temporal resolutions.
The 7T MRI scanner was purchased from Siemens and installed on the ground floor of the Melbourne Brain Centre at Parkville in March 2014. The MBCIU has a Master Research Agreement with Siemens that allows the latest MRI technology to be available on the scanner for research collaborators before they are commercially available.
Research studies on the 7T continue to be primarily neuroimaging focused, however the node has expanded applications with an increase of non-brain studies, given exemplary new functionality with the eye and cervical spine coils, and the flexibility of the knee coil to study wrists and other peripheral limb sections.
The facility maintains world’s best practice for the following applications and expertise:
- Quantitative structural MRI
- Spectroscopy Imaging
- Quantitative Susceptibility Mapping (QSM)
- Sodium MRI
- Neuro-Vascular Imaging (Time of Flight and SWI)
- Functional MRI (fMRI)
- Ultra-high field MRI Safety (Accredited MRI safety officer and expert)
The MBCIU is the University of Melbourne Node of the National Imaging Facility (NIF, https://anif.org.au/). This facility has funded the purchase and operations of the Human 7T MRI and PET/CT scanners via the Australian Government NCRIS program, and Victorian Government matching funds. The purpose was to provide Australian scientists with world-class neuroimaging facilities.
Siemens PET-CT Scanner
The Imaging Unit within the Melbourne Brain Centre at Parkville houses a state-of-the-art PET-CT scanner, which has been funded under the umbrella of a successful VSA bid submitted by the Victorian Biomedical Imaging Consortium (VBIC). Radiopharmaceuticals can be scanned in order to study tissue function and metabolism and novel biomarkers are being used to study brain disorders such as Alzheimer's disease. The system can provide time-of-flight measurements and has an extended field of view PET with 128-slice CT.
The Human PET/CT has continued to be well utilised in a broad range of research studies and clinical trials. Optimised reconstruction is developing as a focus for the UOM PET/CT team, using dedicated access to the Siemens e7 toolbox, and in collaboration with CSIRO for standardised tracer uptake computation. A primary objective of this work is to derive metrics by which to evaluate scanner harmonisation in multicentre studies.
MELBOURNE BRAIN CENTRE IMAGING UNIT
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We will direct your enquiry to the most appropriate person and respond within 1-2 working days.
Melbourne Brain Centre Imaging Unit
Ground Floor - Kenneth Myer Building
30 Royal Parade, The University of Melbourne.
You can help us by volunteering for clinical and research studies. The MBCIU is involved in numerous trials involving many debilitating diseases. Contact us to learn more about how you can help shape the future of research at the University of Melbourne.