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A Prototype Decision Support System for MR Spectroscopy-Assisted Diagnosis of Brain Tumours
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posted on 2023-06-08, 05:59 authored by Josh Underwood, AR Tate, R Luckin, C Majós, A Capdevila, F Howe, J Griffiths, C ArúsOur objective is to develop a decision support system that improves the accuracy of non-invasive brain tumour diagnosis and grading by enabling radiologists to use data from Magnetic Resonance Spectroscopy (MRS). The system, which uses pattern recognition techniques, is trained on a validated database of spectra and associated clinical information to provide automated classification of spectra from brain tumours. An innovative user-interface presents classification results as a two-dimensional overview plot in which points representing cases of different diseases form distinct clusters. Users can inspect any cases in these plots and compare them with the new, unknown spectrum. Hence, the overview plot can both communicate the classification of a case and help provide explanation for that classification in part by supporting human case-based reasoning. This paper describes the development of a prototype system implemented in JAVA.
History
Publication status
- Published
ISSN
0926-9630Publisher
IOS PressVolume
84Page range
pp 561-565Pages
5.0Presentation Type
- paper
Event name
Medinfo 2001 Proceeding of the 10th World Congress on Medical InformaticsEvent location
LondonEvent type
conferenceISBN
4-274-90461-XDepartment affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Editors
R Haux, R Rogers, VL PatelLegacy Posted Date
2012-02-06Usage metrics
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