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Personal profile

Research interests

Senior Lecturer in Neuroimaging specialising in image registration, analysis and visualisation.

Biographical details

Bill Crum originally trained as a physicist gaining a BSc in Theoretical Physics in 1988 and a D.Phil in Computational Physics in 1992, both from the University of York. He worked as a post-doc within the Centre of Medical Imaging Research at The University of Leeds and Leeds General Infirmary on projects concerning CT-SPECT registration and analysis of tagged cardiac MRI. From 1997 to 2001 Bill worked at the Dementia Research Centre (Institute of Neurology) where he was responsible for support and development of image analysis for dementia. From 2001 Bill has worked predominantly on non-rigid registration, segmentation and evaluation techniques first within the Computational Imaging Sciences Group at KCL and then at the Center for Medical Image Computing at UCL. Since September 2007 he has been at the Centre for Neuroimaging Sciences  developing structural image analysis techniques with a growing emphasis on pre-clinical applications.

Research interests (short)

image analysis pipelines in pre-clinical applications, automated image registration and segmentation, multi-modal integration, evaluation and validation techniques 

Research interests

My research is focussed on image processing and analysis techniques in MRI. The three corner-stones of this processing are registration, segmentation and classification, and population modelling. I have developed a population-based affine registration technique which has proved useful for processing heterogeneous cohorts. This is used locally within an analysis pipeline called PIPPIN (Pre-clinical Image Processing Pipeline In Neuroimaging) which I developed to perform Tensor Based Morphometry and other automated analyses including SVM classification. I am also interested in evaluation and validation strategies for these techniques.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Doctor of Philosophy, Convective Instabilities in Laser-Produced Plasmas, University of York

Award Date: 1 Jan 1992

Bachelor of Science, University of York

Award Date: 1 Jan 1988


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