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Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis

  • University of Siegen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 publicationIn Proceedings of the 5th International Joint Conference on Computational Intelligence, ECTA 2013
EditorsAgostinho C. Rosa, António Dourado Correia, Kurosh Madani Correia, Joaquim Filipe, Janusz Kacprzyk
PublisherScience and Technology Publications, Lda
Pages185-192
Number of pages8
ISBN (Print)9789898565778
DOIs
Publication statusPublished - 2013
Event5th International Joint Conference on Computational Intelligence, ECTA 2013 - Vilamoura, Portugal
Duration: 20 Sept 2013 → 22 Sept 2013

Publication series

NameInternational Joint Conference on Computational Intelligence
Volume1
ISSN (Electronic)2184-3236

Conference

Conference5th International Joint Conference on Computational Intelligence, ECTA 2013
Country/TerritoryPortugal
CityVilamoura
Period20/09/13 → 22/09/13

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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