UK PET Chemistry Workshop on Radiotracer Dispensing Oct 21, 2022 09:00 AM - 05:00 PM — KCL, London
Scottish Radiotherapy Research Forum Nov 10, 2022 10:00 AM - 04:00 PM — University of Stirling
IPEM Advanced Neuro MRI Nov 15, 2022 09:00 AM - 05:00 PM — Birmingham

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists. **Unfortunately these do not currently work in browsers**


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

People

Your search for Keyword: 'Physics' returned 16 Result(s)

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ADHD Addictions Ageing Alzheimer's Anaesthesia Artificial Intelligence Attention Autism Bioorganic chemistry Bipolar disorder Brain temperature CT Cardiac imaging Cardiovascular Imaging Carotid Doppler ultrasound Cerebral atrophy Chemistry Clinical decision support Cognitive Control Computer vision DTI-tractography Data protection Database Deep Learning Dementia Depression Diffusion imaging Disorders of Consciousness Doppler ultrasound EEG ERP Elastography Episodic memory Evidence Based Radiology Executive Function Fetal and Child development Field-cycling Functional Connectivity Functional MRI (fMRI) Image analysis Image processing Image segmentation Image-guided intervention Imaging biomarkers Imitation Impaired Consciousness Kinetic Modelling Lacunar stroke Language Large animal imaging Leukoaraiosis Lung Imaging MRA MRI hardware MRI pulse sequences MRS Machine Learning Magnetization transfer Medical visualization Memory Meta-analysis Microvascular MRI Molecular Imaging Multicentre studies Muscle Imaging and Measurement NMR relaxometry Neurodevelopment Neuroinformatics Neurology Neuroradiology Novel Radiotracers Novel imaging methods Nuclear Medicine Oncologic Imaging Oncology Optical imaging PET Parallel computing Perfusion imaging (CT and MR) Permeability imaging (MR) Physics Population imaging Preclinical Imaging Predictive Classification Psychiatry Radiochemistry Radiology Radiomics Radiotherapy Retinal imaging SPECT Schizophrenia Semantic Memory Simulation Small vessel disease Statistics Stroke Structural imaging TBI Texture analysis Thrombolysis Time series analyses Translational Imaging Ultra-high field MRI Ultrasound White matter disease

Miss Bea Andrews


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Dr Isla Barnard


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Mr Thomas Biggans


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Mr Baris Emre Bingol


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Mrs Megan Couper


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Dr Calum Gray


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Dr Blair Johnston

Research for patient benefit: MRI physics, MRI safety, image analysis and clinical application of AI

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Mr Philipp Loske

Extraction of morphological networks based on structural MRI, analysing network measures that can help in providing neuroimaging makers for dementia.

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Professor David Lurie

My interests lie in the development of new technology and methods in MRI to solve problems in bio-medicine. Together with my group I have worked on methods of imaging free radicals by MRI, and on techniques for imaging solid materials with ultra-short T2 relaxation times. In recent years, my research has focussed on fast field-cycling (FFC) MRI , where the magnetic field is switched rapidly during the imaging procedure. In this way, FFC can access contrast mechanisms which are invisible to conventional MRI. My group has built a variety of MRI scanners over the years, including whole-body sized FFC-MRI scanners. We are currently investigating the use of FFC-MRI in a range of biological and medical research applications.

See our research group's web page at https://www.abdn.ac.uk/research/ffc-mri/ 

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Mr Kangwa Nkonde


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