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Dynamic contrast enhanced magnetic resonance imaging parameter based computer assisted diagnostic tool using three random variable co-occurrence approach

  • Mehmet C. Kale
  • , Johannes T. Heverhagen
  • , Bradley D. Clymer
  • , Michael V. Knopp

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

Abstract

In this research we describe an implementation of the joint statistical co-occurrence analysis of 3 types of dynamic contrast enhanced magnetic resonance (DCE-MR) images of breast tissue for detection of tumors. The method was implemented in distributed and parallel environments to decrease the long execution time caused by the huge size of data. This method is the first known implementation of the joint statistical co-occurrence analysis on 3 types of pharmacokinetic data and also the first implementation of multi-image co-occurrence analysis for medical applications.

Original languageEnglish
Title of host publicationProceedings of the Seventh IASTED International Conference on Signal and Image Processing, SIP 2005
EditorsM.W. Marcellin
Pages110-115
Number of pages6
StatePublished - Dec 1 2005
EventSeventh IASTED International Conference on Signal and Image Processing, SIP 2005 - Honolulu, HI, United States
Duration: Aug 15 2005Aug 17 2005

Publication series

NameProceedings of the Seventh IASTED International Conference on Signal and Image Processing, SIP 2005

Other

OtherSeventh IASTED International Conference on Signal and Image Processing, SIP 2005
Country/TerritoryUnited States
CityHonolulu, HI
Period08/15/0508/17/05

Keywords

  • Three Variable Co-occurrence Analysis DCE-MRI

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