Brain matters emphasis in MRI by kernel independent component analysis

Tomoko Tateyama; Zensho Nakao; Yen Wei Chen

doi:10.1109/IIHMSP.2007.4457506

Brain matters emphasis in MRI by kernel independent component analysis

Tomoko Tateyama, Zensho Nakao, Yen Wei Chen

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

3 Citations (Scopus)

Abstract

We propose a new method for brain matters emphasis in MR Images based on Kernel Independent Component Analysis (KICA). First the method mappes MRI data into a higher-dimensional implicit feature space. Then we extract kernel independent components from 3-dimensional MR images; PD image, T1 image and T2 image by KICA. Since the KICA algorithm is based on minimization of a contrast function, it can perform image processing, considering a higher-dimensional non-linear model. We also give experimental results which are very helpful to emphasize tissue clusters included in images; not only giving contrast emphasis of the images but also image comparisons by with those ICA analysis.

Original language	English
Title of host publication	Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages	117-120
Number of pages	4
DOIs	https://doi.org/10.1109/IIHMSP.2007.4457506
Publication status	Published - 2007
Externally published	Yes
Event	3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan, Province of China Duration: 26-11-2007 → 28-11-2007

Publication series

Name	Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume	1

Conference

Conference	3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
Country/Territory	Taiwan, Province of China
City	Kaohsiung
Period	26-11-07 → 28-11-07

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Signal Processing
Information Systems and Management

Access to Document

10.1109/IIHMSP.2007.4457506

Cite this

Tateyama, T., Nakao, Z., & Chen, Y. W. (2007). Brain matters emphasis in MRI by kernel independent component analysis. In Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007. (pp. 117-120). Article 4457506 (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.; Vol. 1). https://doi.org/10.1109/IIHMSP.2007.4457506

Tateyama, Tomoko ; Nakao, Zensho ; Chen, Yen Wei. / Brain matters emphasis in MRI by kernel independent component analysis. Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. pp. 117-120 (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.).

@inproceedings{afbc82bc45d94d96a8bd1b7dda232291,

title = "Brain matters emphasis in MRI by kernel independent component analysis",

abstract = "We propose a new method for brain matters emphasis in MR Images based on Kernel Independent Component Analysis (KICA). First the method mappes MRI data into a higher-dimensional implicit feature space. Then we extract kernel independent components from 3-dimensional MR images; PD image, T1 image and T2 image by KICA. Since the KICA algorithm is based on minimization of a contrast function, it can perform image processing, considering a higher-dimensional non-linear model. We also give experimental results which are very helpful to emphasize tissue clusters included in images; not only giving contrast emphasis of the images but also image comparisons by with those ICA analysis.",

author = "Tomoko Tateyama and Zensho Nakao and Chen, {Yen Wei}",

year = "2007",

doi = "10.1109/IIHMSP.2007.4457506",

language = "English",

isbn = "0769529941",

series = "Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.",

pages = "117--120",

booktitle = "Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.",

note = "3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 ; Conference date: 26-11-2007 Through 28-11-2007",

}

Tateyama, T, Nakao, Z & Chen, YW 2007, Brain matters emphasis in MRI by kernel independent component analysis. in Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.., 4457506, Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007., vol. 1, pp. 117-120, 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007, Kaohsiung, Taiwan, Province of China, 26-11-07. https://doi.org/10.1109/IIHMSP.2007.4457506

Brain matters emphasis in MRI by kernel independent component analysis. / Tateyama, Tomoko; Nakao, Zensho; Chen, Yen Wei.
Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. p. 117-120 4457506 (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.; Vol. 1).

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

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AU - Nakao, Zensho

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AB - We propose a new method for brain matters emphasis in MR Images based on Kernel Independent Component Analysis (KICA). First the method mappes MRI data into a higher-dimensional implicit feature space. Then we extract kernel independent components from 3-dimensional MR images; PD image, T1 image and T2 image by KICA. Since the KICA algorithm is based on minimization of a contrast function, it can perform image processing, considering a higher-dimensional non-linear model. We also give experimental results which are very helpful to emphasize tissue clusters included in images; not only giving contrast emphasis of the images but also image comparisons by with those ICA analysis.

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Tateyama T, Nakao Z, Chen YW. Brain matters emphasis in MRI by kernel independent component analysis. In Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. p. 117-120. 4457506. (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.). doi: 10.1109/IIHMSP.2007.4457506

Brain matters emphasis in MRI by kernel independent component analysis

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