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Prof Daniel Alexander

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Prof Daniel Alexander

My research focusses on computational modelling and optimization for biomedical imaging and image analysis. The work involves both ends of the imaging pipeline: designing novel imaging techniques with sensitivity to new image features, and extracting new information from existing images. My background is in mathematics and computer science and I draw on ideas from medical imaging, computer vision, image processing and machine learning to construct models at various scales from tissue microstructure, through image regions or organs, to whole patient cohorts. Imaging data informs these models, so allows us to estimate their parameters and reveal new information about tissue, organs, patients or popluations.

For example, my EPSRC fellowship project works towards non-invasive histology, which aims to estimate using MRI features of tissue microstructure, such as cell size, shape and packing density, that traditionally require invasive biopsy and microscopy. Key applications are in brain connectivity mapping, white matter diseases like multiple sclerosis, and tumour-grading and treatment-planning for cancer. At the other end of the scale, my work on progression modelling aims to learn the progression pattern of particular diseases, ie the characteristic order in which symptoms and pathologies arise, using cross-sectional image databases from whole cohorts of patients. So far the work has focussed on neurodegenerative diseases, such as Alzheimer's disease and other dementias.

 

I lead the Microstructure Imaging Group as well as development and maintenance of the Camino diffusion MRI toolkit. My core expertise is in computer science, computational modelling, parameter estimation, and imaging science. My first degree was a BA in Mathematics from Oxford completing in 1993. I then studied for MSc and PhD in Computer Science at UCL, completing in 1997. After a post-doc at the University of Pennsylvania, I returned to UCL as a lecturer in 2000 and I have been Professor of Imaging Science since 2009. More details here.

 

Contact Details:

University College London
Centre for Medical Image Computing and Computer Science.
3rd Floor
Engineering Front Building
Malet Place
London WC1E 6BT
United Kingdom

Office: 3.04
Tel: +44 (0)20 7679 0221 (Direct Dial)
Internal: 32419
Fax: +44 (0)20 7387 1397
Email: d.alexander@cs.ucl.ac.uk

 

Publications

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