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ALLSTAT  1999

ALLSTAT 1999

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Subject:

STUDENTSHIP - Dept. of Medical Statistics, Leicester

From:

Briony Teather <[log in to unmask]>

Reply-To:

Briony Teather <[log in to unmask]>

Date:

Thu, 03 Jun 1999 08:29:14 +0100

Content-Type:

text/plain

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text/plain (106 lines)

>
>
> Medical Informatics :
> Modelling Uncertainty in Neuroradiological Diagnosis
>
> Department of Medical Statistics
> Faculty of Computing Sciences and Engineering
> De Montfort University
> Leicester
>
> EPSRC PhD Studentship
>
>Applications are invited for an EPSRC Research Studentship to work with an
>established multi-institution multi-disciplinary team working in the area
>of computer support for medical image interpretation, training and diagnosis
>in neuroradiology.
>The studentship pays EC fees and provides support for 3 years.
>
>Start date : Available immediately or by negotiation.
>
>Applicants should have a good first degree and be able to demonstrate a
>sound knowledge of statistics and relevant computing skills.
>
> Background to the Studentship
>
>The proposed research work will build on an existing long term collaboration
>between the Department of Medical Statistics; the Institute of Neurology,
>London; the School of Cognitive and Computing Sciences, University of
>Sussex; and the Educational Technology Research Group, University of
>Birmingham. The Medical Systems Research Group, De Montfort University,
>in collaboration with the Institute of Neurology has developed a defined
>description language for describing abnormalities visible on Magnetic
>Resonance images of the head, an archive of some 1200 cases with confirmed
>diagnoses and a statistical database of case descriptions. The image and
>statistical archive form a valuable resource which is fundamental to the
>project. A recently completed multidisciplinary study has resulted in the
>development of novel overview spaces which provide a visualisation of the
>variation in image appearance within pathologies and statistically based
>measures of the cognitive science concepts of typicality and similarity.
>The proposed research will be informed by an ongoing joint ESRC funded
>project into 'Workbased Studies in Radiology'. The collaboration has
>resulted in the development of a prototype Intelligent Tutoring System
>for MR imaging of the Head.
>
>Project Description
>
>Radiological diagnosis and decision making presents a particularly
>difficult task in that it involves the extraction and interpretation
>of information on individual patients from complex medical images and
>reasoning in relation to competing pathologies that often exhibit
>similar abnormal features in the images. The detail available in
>Magnetic Resonance (MR) images, the sensitivity of image appearance
>to sequence type, the variability of presentation makes diagnosis of
>brain diseases particularly challenging. Significant progress in
>support of radiological interpretation is only likely to be made if
>an integrated approach is adopted which allows for the uncertainty
>and imprecision of the tasks involved and allocates tasks between
>the computer and clinician that make maximal use of the expertise.
>
>Radiologists are rapidly able to detect abnormalities visible in images
>but may have only a partial understanding of the relationship between
>the appearance of brain lesions and the nature of brain disease and are
>poor at characterising the uncertainty in the diagnostic process.
>This project will undertake fundamental research into the provision of
>computer based representations to support radiologists in understanding
>and visualising uncertainty and imprecision in image interpretation
>and diagnosis. The work will build on recent research into the provision
>of 'overview spaces' of pathologies. In particular, the issues to be
>addressed include methods for visualising the uncertainty in the
>description of abnormalities, the provision of well-calibrated estimates
>of diagnostic uncertainty and the visualisation of this uncertainty in
>overview displays for competing diagnoses.
>
>For further information please contact Dr Briony Teather in the
>Department of Medical Statistics email : [log in to unmask], Tel 0116 2577480.
>***************************************************************************
***
>Dr Briony A Teather
>Principal Lecturer in Medical Statistics
>Executive Conference and Short Course Secretary
>Department of Medical Statistics Tel : +44 (0)116 2577480
>De Montfort University Fax : +44 (0)116 2506114
>The Gateway Email : [log in to unmask]
>Leicester LE1 9BH
>***************************************************************************
***
>
>
>
>
>
>
****************************************************************
Dr Briony A Teather
Principal Lecturer in Statistics
Conference and Short Course Executive Secretary
Department of Medical Statistics
Faculty of Computing Sciences and Engineering Tel : +44 (0)116 257 7480
De Montfort University Fax : +44 (0) 116 250 6114
Leicester LE1 9BH England UK email : [log in to unmask]
****************************************************************



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