Home > Research > Publications & Outputs > A MS-lesion pattern discrimination plot based o...

Electronic data

  • Marschallinger_et_al-2016-Brain_and_Behavior

    Rights statement: c 2016 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

    Final published version, 2.86 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Links

Text available via DOI:

View graph of relations

A MS-lesion pattern discrimination plot based on geostatistics

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
  • Robert Marschallinger
  • Paul Schmidt
  • Peter Hofmann
  • Claus Zimmer
  • Peter Michael Atkinson
  • Johann Sellner
  • Eugen Trinker
  • Mark Mühlau
Close
<mark>Journal publication date</mark>03/2016
<mark>Journal</mark>Brain and Behavior
Issue number3
Volume6
Number of pages14
Publication StatusPublished
Early online date30/01/16
<mark>Original language</mark>English

Abstract

Introduction
A geostatistical approach to characterize MS-lesion patterns based on their geometrical properties is presented.

Methods
A dataset of 259 binary MS-lesion masks in MNI space was subjected to directional variography. A model function was fit to express the observed spatial variability in x, y, z directions by the geostatistical parameters Range and Sill.

Results
Parameters Range and Sill correlate with MS-lesion pattern surface complexity and total lesion volume. A scatter plot of ln(Range) versus ln(Sill), classified by pattern anisotropy, enables a consistent and clearly arranged presentation of MS-lesion patterns based on geometry: the so-called MS-Lesion Pattern Discrimination Plot.

Conclusions
The geostatistical approach and the graphical representation of results are considered efficient exploratory data analysis tools for cross-sectional, follow-up, and medication impact analysis.

Bibliographic note

c 2016 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.