Rate My Professor David Carmichael

Professor David Carmichael is Professor in Magnetic Resonance Imaging in the Department of Imaging Physics and Engineering, School of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine at King’s College London. He earned a PhD in Medical Physics from University College London in 2004, with a thesis entitled 'Speed and Contrast in MRI', and a Master of Natural Science in Physics from UCL in 2000. In addition to his primary role, he holds an Honorary Reader position at the UCL Great Ormond Street Institute of Child Health.

Professor Carmichael's research expertise lies in MRI physics and the development of advanced multimodal imaging techniques to investigate human brain function and pathology across spatial and temporal scales. His work emphasizes integrating electroencephalography (EEG) with functional MRI and quantitative structural MRI. These approaches are particularly applied to epilepsy studies, enabling non-invasive mapping of epileptogenic brain regions, quantification of complex interactions between brain areas associated with pathological synchronous activity, and characterization of brain dynamics to guide therapeutic interventions such as surgery or electrical stimulation. His contributions also include paediatric neuroimaging, ultra-high field 7T MRI applications, head stabilisation devices for improved image quality, and safety evaluations for simultaneous EEG-fMRI. With over 4,400 citations, his research has made substantial impacts in neuroimaging and epilepsy diagnostics.

Among his key publications are 'Thalamocortical structural connectivity in children with focal epilepsy: A diffusion MRI, case–control study' (Epilepsia, 2026), 'Quantitative T1 and Effective Proton Density (PD*) mapping in children and adults at 7T from an MP2RAGE sequence optimised for uniform T1-weighted (UNI) and FLuid And White matter Suppression (FLAWS) contrasts' (Imaging Neuroscience, 2025), 'Safety of Simultaneous Scalp and Intracranial EEG and fMRI: Evaluation of RF-Induced Heating' (Bioengineering, 2025), 'The potential of laminar functional MRI in refining the understanding of epilepsy in humans' (Brain, 2025), and 'Ultra-High Field 7T MRI in a Drug-Resistant Pediatric Epilepsy Cohort: Image Comparison and Radiologic Outcomes' (Neurology, 2025).