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Detection and classification of MS using magnetisation transfer ratio images

Dehmeshki, J; Ruto, AC; Parker, GJM; Arridge, S; Miller, DH; Tofts, PS; (2000) Detection and classification of MS using magnetisation transfer ratio images. In: Loncaric, S, (ed.) IWISPA 2000: PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS. (pp. 127 - 132). UNIV ZAGREB, FAC FORESTRY

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Abstract

Principal component (PCA) and multiple discriminant analysis (MDA) are applied to Magnetization Transfer Ratio (MTR) images in multiple sclerosis (MS). PCA and MDA are used to characterise subtle diffuse changes in MS. PCA is applied to MTR histograms to identify regions of significant variation. These areas are indicated as possible lesion areas. We compare two classifiers to recognise differences between normal controls and different types of MS disease; a Bayesian classifier is trained in PC space, and the histogram space is transformed to the optimal discriminant space for a nearest neighbor classifier.

Type: Proceedings paper
Title: Detection and classification of MS using magnetisation transfer ratio images
Event: 1st International Workshop on Image and Signal Processing and Analysis (IWISPA 2000) in conjunction with the 22nd International Conf on Informat Technol Interfaces
Location: PULA, CROATIA
Dates: 2000-06-13 - 2000-06-16
ISBN: 953-96769-2-4
Keywords: Magnetization Transfer Ratio (MTR) images, multiple sclerosis, principal component, Bayesian classification, multiple discriminant analysis, WHITE-MATTER, MAGNETIZATION
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Department of Neuromuscular Diseases
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/137231
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