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Fuzzy model-based algorithm for 3-D bone tumour analysis

  • University of Siegen

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

Abstract

In this paper, a new fuzzy model based algorithm for 3-D bone tumour segmentation in MR series is introduced. The presented segmentation procedure is based on a modified fuzzy connectedness method. The there required fuzzy affinity values are estimated using a fuzzy inference system, whose fuzzy membership functions are structured on the basis of gaussian mixture model of analyzed image regions. The 3-D fuzzy tumour model is generated using different MR modalities acquired during a single examination. The segmentation abilities of prototype system have been tested on a MR database consisting of 27 examinations composed of two different sequences each.

Original languageEnglish
Title of host publicationIJCCI 2013 - Proceedings of the 5th International Joint Conference on Computational Intelligence
Pages185-192
Number of pages8
Publication statusPublished - 2013
Event5th International Joint Conference on Computational Intelligence, IJCCI 2013 - Vilamoura, Algarve, Portugal
Duration: 20 Sept 201322 Sept 2013

Publication series

NameIJCCI 2013 - Proceedings of the 5th International Joint Conference on Computational Intelligence

Conference

Conference5th International Joint Conference on Computational Intelligence, IJCCI 2013
Country/TerritoryPortugal
CityVilamoura, Algarve
Period20/09/1322/09/13

Keywords

  • Fuzzy Connectedness Analysis
  • Fuzzy Interference System
  • Gaussian Mixture Model
  • Model based Analysis

ASJC Scopus subject areas

  • Software

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