The effect of region of interest size on textural parameters

Minna Sikiö, Kirsi K. Holli-Helenius, Pertti Ryymin, Prasun Dastidar, Hannu Eskola, Lara Harrison

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

Texture analysis provides quantitative information describing the properties of a digital image. The value of texture analysis has been tested in various medical applications, using mostly magnetic resonance images because of the amount of information the method is capable to provide. However, there exists no certain practice to define the region of interest (ROI) within the texture parameters are calculated. Many parameters seem to be dependent on the ROI size. We studied the effect of the ROI size with magnetic resonance head images from 64 healthy adults and artificial noise images. According to our results, ROI size has a significant effect on the computed value of several second-order texture features. We conclude that comparisons of different size ROIs will therefore lead to falsely optimistic classification between analyzed tissues.

Original languageEnglish
Title of host publication2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)
PublisherIEEE
Pages149-153
Number of pages5
ISBN (Electronic)978-1-4673-8032-4
DOIs
Publication statusPublished - 2015
Publication typeA4 Article in conference proceedings
EventInternational Symposium on Image and Signal Processing and Analysis -
Duration: 1 Jan 2015 → …

Conference

ConferenceInternational Symposium on Image and Signal Processing and Analysis
Period1/01/15 → …

Keywords

  • magnetic resonance imaging
  • random pattern
  • region of interest
  • size
  • texture analysis

Publication forum classification

  • Publication forum level 1

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