The University has procured a Magnetic Resonance Imaging (MRI) facility (model: MAGNETOM Prisma1) as a major research infrastructure or central research facility to promote individual and collaborative research on transdisciplinary neuroscience studies. The system is equipped with:
- high gradient performance (80 mT/m @ 200 T/m/s simultaneously, on all three axes) with an ultra-high-performance cooling system and force-compensated design for reduced vibrations;
- fully dynamic parallel transmit with TimTX TrueShape
- Tim 4G RF system with 48, 64, or 128 independent channels for faster imaging and higher SNR
- new UltraFlex 18 coils and Tim 4G coil technology
Please click here to visit the supplier's website for the specification details.
Our Team
Management Committee
Executive Director
Associate Professor, Department of Management, Marketing, and Information Systems
Job Openings
- Radiographers (Please click here for the job description)
- Research Assistant/Technician (Please click here for the job description)
- Research Associate/Scientific Officer (Please click here for the job description)
- Research Scientist (Please click here for the job description
Seminars
Date and Time | Venue | Topic | Speaker | Register |
---|---|---|---|---|
30 May, 2023 (Tuesday) 16:00-17:30 | OEE1017, HSH Campus | From data to modelling: Exploration at the whole brain scale with possible clinical applications | Prof. Jianfeng Feng,
Chair professor, Shanghai National Centre for Mathematic Sciences Dean, Brain-inspired AI Institute, Fudan University Dean, School of Data Science, Fudan University | Register Here |
25 May, 2023 (Thursday) 10:00-11:00 | WLB205, Shaw Campus | Exploring the Influence of Echo Time on Functional and Diffusion MRI using a High-Performance Gradient MR Scanner | Prof. Hongjian He, School of Physics, Center for Brain Imaging Science and Technology, Zhejiang University | / |
18 April, 2023 (Tuesday) 10:00-11:00 | WLB109, Shaw Campus | Window to Understanding Brain Networks and Functions through Optogenetic Functional MRI (fMRI) | Dr. Alex Tze Lun Leong, Department of Electrical and Electronic Engineering, The University of Hong Kong | / |