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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 Arús
Our 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

0926-9630

Publisher

IOS Press

Volume

84

Page range

pp 561-565

Pages

5.0

Presentation Type

  • paper

Event name

Medinfo 2001 Proceeding of the 10th World Congress on Medical Informatics

Event location

London

Event type

conference

ISBN

4-274-90461-X

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Editors

R Haux, R Rogers, VL Patel

Legacy Posted Date

2012-02-06

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