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Automatic registration of the medical images - T1- and T2-weighted MR knee images

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

This article shows a new method of the automatic registration of T1- and T2-weighted MR knee images. This method is based on the entropy and energy measures of fuzziness and can be used in localization process of cruciate ligament. First, two sequences (T1- and T2-weighted) are converted to a fuzzy representation. Then, the entropy and energy measures are employed in the NCC (normalized cross correlation) and GD (gradient difference) methods. The alignment based on energy and entropy fuzzy measures shows a significant improvement in comparison with the implementation of the original image.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Mixed Design of Integrated Circuits and Systems, MIXDES 2006
Pages741-745
Number of pages5
Publication statusPublished - 2006
EventInternational Conference on Mixed Design of Integrated Circuits and Systems, MIXDES 2006 - Gdynia, Poland
Duration: 22 Jun 2006 → 24 Jun 2006

Publication series

NameProceedings of the International Conference on Mixed Design of Integrated Circuits and Systems, MIXDES 2006

Conference

ConferenceInternational Conference on Mixed Design of Integrated Circuits and Systems, MIXDES 2006
Country/TerritoryPoland
CityGdynia
Period22/06/06 → 24/06/06

Keywords

  • Entropy and energy measures of fuzziness
  • Image registration
  • Membership function
  • Similarity measures

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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