Title :
Automatic Registration Of The Medical Images - T1- And T2-weighted MR Knee Images
Author_Institution :
Silesian Univ. of Technol., Gliwice
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;
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
DOI :
10.1109/MIXDES.2006.1706684
