Classification of tissues in MR images by using discrete cosine transform

Zümray Dokur; Mehmet N. Kurnaz; Tamer Ölmez

Classification of tissues in MR images by using discrete cosine transform

Zümray Dokur^*, Mehmet N. Kurnaz, Tamer Ölmez

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	1101-1102
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	2
Publication status	Published - 2002
Event	Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: 23 Oct 2002 → 26 Oct 2002

Keywords

Image processing
Incremental neural network
Tissue classification

Cite this

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title = "Classification of tissues in MR images by using discrete cosine transform",

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 = "Image processing, Incremental neural network, Tissue classification",

author = "Z{\"u}mray Dokur and Kurnaz, {Mehmet N.} and Tamer {\"O}lmez",

year = "2002",

language = "English",

volume = "2",

pages = "1101--1102",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) ; Conference date: 23-10-2002 Through 26-10-2002",

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TY - JOUR

T1 - Classification of tissues in MR images by using discrete cosine transform

AU - Dokur, Zümray

AU - Kurnaz, Mehmet N.

AU - Ölmez, Tamer

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - Image processing

KW - Incremental neural network

KW - Tissue classification

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M3 - Conference article

AN - SCOPUS:0036916801

SN - 0589-1019

VL - 2

SP - 1101

EP - 1102

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)

Y2 - 23 October 2002 through 26 October 2002

ER -

Classification of tissues in MR images by using discrete cosine transform

Abstract

Keywords

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