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magnetic resonance imaging PhD Projects, Programs & Scholarships

We have 40 magnetic resonance imaging PhD Projects, Programs & Scholarships

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  Non-invasive Mapping of Oxygen Extraction Fraction in Patients with Breast Cancer: Development of Novel Multi-Parametric Relaxometry Magnetic Resonance Imaging (MRI) Methods
  Dr J He, Dr Y Masannat, Prof D Lurie
Application Deadline: 29 March 2019
This project aims to translate, optimise and extend quantitative oxygen extraction fraction mapping based on oxygen enriched air inspiration and magnetic resonance (MR) relaxometric imaging for human application.
  Statistical characterisation of brain tissue microstructure with diffusion magnetic resonance imaging
  Research Group: Brain Imaging
  Dr L Beltrachini, Prof K Murphy
Application Deadline: 1 April 2019
Diffusion Magnetic Resonance Imaging (dMRI) is a medical imaging technique that allows to characterise brain structures in the microscale in vivo and non-invasively.
  Identification of a biomarker of sensory dysfunction for patients who have developed neuropathic pain following cancer chemotherapy using functional Magnetic Resonance Imaging (fMRI) and machine learning.
  Prof D Steele, Prof L Colvin
Applications accepted all year round
Background. Acute pain is intrinsically unpleasant and aversive but is useful as it has survival benefit. However, many people suffer from chronic treatment-resistant pain that lasts months or years, lacks survival benefit, seriously impairs quality of life and causes unnecessary suffering.
  Myocardial functional T1 mapping – Advanced cardiac magnetic resonance imaging techniques: improving and standardization of quantitative CMR approaches to support better healthcare
  Prof S Piechnik, Prof V Ferreira, Prof S Neubauer, Dr Q Zhang
Application Deadline: 26 July 2019
Other Potential Supervisors. Konrad Werys. OCMR has an international reputation for cardiac MRI (CMR) research on all aspects from acquisition biophysics to clinical applications.
  Developing Magnetic Resonance Targeting Methods
  Dr A Kennerley
Applications accepted all year round
Magnetic resonance targeting (MRT) is a novel method which repurposes the imaging gradient coils, inherent in most clinical magnetic resonance imaging (MRI) systems, to essentially steer super paramagnetic iron oxide (SPIO) labelled particles to a target regions deep within a sample.
  Fully-funded PhD studentship – Hyperpolarized NMR Spectroscopy
  Prof M Levitt, Dr G Pileio
Applications accepted all year round
Hyperpolarization methods enhance nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) signals by up to 5 orders of magnitude, with transformative implications for a wide range of sciences including chemistry, biology, physics and medicine.
  Development and validation of novel MRI methods using preclinical models of disease.
  Research Group: Institute of Neuroscience and Psychology
  Dr W Holmes
Applications accepted all year round
Project Description. At Glasgow’s Experimental MRI Centre we are interested in pushing the boundaries of Magnetic Resonance Imaging (MRI) and its application to biomedical research.
  Engineering Big Data solutions to mining Imaging Genetics data through Deep Learning
  Dr E Robinson
Applications accepted all year round
First Supervisor - Dr Emma Robinson. Second Supervisor - Professor David Edwards.
  Resolving the cortex with ultra-high resolution MRI to detect epileptic lesions
  Prof C Prieto
Applications accepted all year round
Epilepsy is the most common neurological condition in children and the most common cause is cortical malformations. We have been developing high quality quantitative structural Magnetic Resonance Imaging (MRI) to allow these to be more optimally detected.
  Understanding the effects of brain disease on what functional brain imaging signals are telling us about neuronal activity
  Dr C Martin
Applications accepted all year round
Functional brain imaging methods such as functional magnetic resonance imaging (fMRI) have already revolutionized how we can study the processes and functioning of the healthy human brain and are making an increasing impact on our understanding on what goes wrong in disease of the brain.
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