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Updated: Jul 12, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Structured computer-based training in the interpretation of neuroradiological images
M Sharples1, N P Jeffery, B du Boulay
1Educational Technology Research Group, School of Electronic and Electrical Engineering, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK. m.sharples@bham.ac.uk
Abstract:
Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to computer-assisted training in radiology in that it provides case-based tuition whereby the system and user communicate in terms of a well-founded Image Description Language. The system implements a novel method of visualisation and interaction with a library of fully described cases utilising statistical models of similarity, typicality and disease categorisation of cases. We describe the rationale, knowledge representation and design of the system, and provide a formative evaluation of its usability and effectiveness.
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