Title :
Classification of tissues in MR images by using discrete cosine transform
Author :
Dokur, Zümray ; Kumaz, M.N. ; Ölmez, Tamer
Author_Institution :
Dept. of Electron. & Commun. Eng., Istanbul Tech. Univ., Turkey
Abstract :
In this study, the tissues in the magnetic resonance (MR) images are classified. Feature vectors are formed by the discrete cosine transform of pixel intensities in the region of interest. In this study, discrete cosine, and Fourier transforms are comparatively investigated for the segmentation. An incremental self-organized map (ISOM) is proposed as the classifier for the segmentation process.
Keywords :
Fourier transforms; biological tissues; biomedical MRI; discrete cosine transforms; feature extraction; image classification; image segmentation; medical image processing; neural nets; vectors; MR images; discrete cosine transform; incremental neural network; magnetic resonance imaging; medical diagnostic imaging; physical process; pixel intensities; realistic classifiers; region of interest; subimages size; tissues classification; Artificial neural networks; Data mining; Discrete cosine transforms; Fourier transforms; Frequency; Image segmentation; Magnetic resonance; Pixel; Ultrasonic imaging; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106297
