Biography
Professor Daniel Bulte completed a BSc(hons) in Physics (1997) and a PhD in Electrical Engineering (2001) at the University of Tasmania, after which he took up a postdoctoral position in Medical Biophysics at the University of Toronto before moving to Oxford to work at the FMRIB Centre in 2004.
Daniel was appointed to his current position in September 2016. His research primarily involves analysing MRI data to create models of vascular physiology and metabolism.
Daniel has an honorary Senior Research Fellowship at the Wellcome Centre for Integrative Neuroimaging, and regularly collaborates with researchers in the Department of Oncology, and the Department of Psychiatry at the University of Oxford.
Daniel is passionate about outreach and public engagement and is trying to break the record for the highest number of outreach events and lectures for the University.
Most Recent Publications
Bayesian Modelling Approaches for Breath-Hold Induced Cerebrovascular Reactivity
Bayesian Modelling Approaches for Breath-Hold Induced Cerebrovascular Reactivity
The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing
The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing
The impact of Alzheimer's disease risk factors on the pupillary light response
The impact of Alzheimer's disease risk factors on the pupillary light response
Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI
Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI
Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.
Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.
Research Interests
Daniel's group focuses on developing translatable clinical imaging techniques for measuring blood flow and metabolism in a broad range of diseases from dementia to cancer. Primarily using MRI and often incorporating respiratory challenges we aim to determine the links between the parameters we can measure and the physiology we wish to. We are involved with a number of ongoing clinical trials based at both the John Radcliffe and Churchill Hospitals in Oxford.
Daniel is a long-standing member of the International Society for Magnetic Resonance in Medicine and regularly offers educational sessions on calibrated functional MRI at the annual ISMRM meeting. Daniel is an organiser for the Royal Society Theo Murphy international scientific meeting on Integrated control of cerebral blood flow.
Research Groups
Research Team
Professor Robert Carlisle - Academic
Dr Joana Pinto - Research Staff
Current Projects
Imaging Cerebrovascular Reactivity
CVR is the ability of the brain vasculature to respond to changes in demand and is a critical indicator of brain health.
Oxygen-enhanced MRI
Oxygen is essential to life, it also provides intravascular MRI contrast that enables us to image where there is too little being supplied.
Quantitative MRI of Cancer
The fundamental sources of contrast in MRI can tell us a great deal about the condition and nature of tissues in the body, not just pretty pictures.
Most Recent Publications
Bayesian Modelling Approaches for Breath-Hold Induced Cerebrovascular Reactivity
Bayesian Modelling Approaches for Breath-Hold Induced Cerebrovascular Reactivity
The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing
The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing
The impact of Alzheimer's disease risk factors on the pupillary light response
The impact of Alzheimer's disease risk factors on the pupillary light response
Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI
Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI
Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.
Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.
DPhil Opportunities
If you are interested in studying for a DPhil in Engineering Science in any of my areas of research interest then please contact me to discuss the possibility.
For a full listing of department DPhil opportunities, please visit our jobs page.
Most Recent Publications
Bayesian Modelling Approaches for Breath-Hold Induced Cerebrovascular Reactivity
Bayesian Modelling Approaches for Breath-Hold Induced Cerebrovascular Reactivity
The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing
The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing
The impact of Alzheimer's disease risk factors on the pupillary light response
The impact of Alzheimer's disease risk factors on the pupillary light response
Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI
Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI
Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.
Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.