Automatic Registration Of The Medical Images - T1- And T2-weighted MR Knee Images

Author

Zarychta, P.

Author_Institution

Silesian Univ. of Technol., Gliwice

fYear

2006

fDate

22-24 June 2006

Firstpage

741

Lastpage

745

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

Keywords

correlation methods; gradient methods; image registration; medical image processing; T1-weighted MR knee images; T2-weighted MR knee images; cruciate ligament; energy fuzzy measures; entropy fuzzy measures; fuzzy representation; gradient difference method; image registration; medical images automatic registration; membership function; normalized cross correlation method; similarity measures; Biomedical imaging; Energy measurement; Entropy; Humans; Image registration; Knee; Ligaments; Medical diagnostic imaging; Pixel; Sea measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006. Proceedings of the International Conference

Conference_Location

Gdynia

Print_ISBN

83-922632-2-7

Type

conf

DOI

10.1109/MIXDES.2006.1706684

Filename

1706684