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Model-based fuzzy system for multimodal image segmentation

  • University of Siegen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this paper, a new model-based fuzzy system for multimodal 3-D image segmentation inMRseries is introduced. The presented fuzzy system calculates affinity values for fuzzy connectedness segmentation procedure, which is the main stage of the processing. The fuzzy rules, generated for the system simulating a radiological analysis, are structured on the basis of Gaussian mixture model of analyzed image regions. For themodel parameters estimation, differentMRmodalities, acquired during a single examination, are used. The segmentation abilities of a prototype system have been tested on two medical databases. The first one consists of 27 examinations with bone tumors, which are visualized with two different MR sequences. The second one is the database of brain tumors with ground truth description obtained from the MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages191-206
Number of pages16
DOIs
Publication statusPublished - 2016

Publication series

NameStudies in Computational Intelligence
Volume613
ISSN (Print)1860-949X

Keywords

  • Fuzzy connectedness analysis
  • Fuzzy interference system
  • Gaussian mixture model
  • Model based analysis

ASJC Scopus subject areas

  • Artificial Intelligence

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