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JACIII Vol.17 No.1 pp. 74-82
doi: 10.20965/jaciii.2013.p0074
(2013)

Paper:

YURAGI Synthesis for Ultrasonic Human Brain Imaging

Naomi Yagi*1, Yoshitetsu Oshiro*2, Tomomoto Ishikawa*2,
and Yutaka Hata*3,*4

*1Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2280, Japan

*2Ishikawa Hospital, 2-150 Bessho, Bessho-cho, Himeji, Hyogo 671-0221, Japan

*3Himeji Initiative in Computational Medical and Health Technology, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2280, Japan

*4WPI Immunology Frontier Research Center, Osaka University, 3-1 Yamadaoka, Suita, Osaka 565-0871, Japan

Received:
April 20, 2012
Accepted:
December 22, 2012
Published:
January 20, 2013
Keywords:
YURAGI, ultrasonic system, human brain, fuzzy inference, data synthesis
Abstract

This paper proposes YURAGI synthesis for brain imaging under the skull. The advantage of the proposed method over conventional methods is that, using YURAGI synthesis, it is possible to obtain the effective results without image registration. Image registration is generally needed when more than two images are to be synthesized into one image. YURAGI synthesis does not need image registration; thus, its method is simpler than other methods that need image synthesis. The effectiveness of the proposed method was confirmed by comparing its error rate and accuracy with those of other methods. YURAGI leads the simple and energy-saving system with performing autoregulation. Autoregulation is utilized in many biological systems. In this study, YURAGI was applied to an ultrasound-based diagnostic medical imaging technique. The experimental results using YURAGI were superior to those using othermethods. Thus, YURAGI is useful for visualizing the human brain.1
1. This paper has been reviewed and accepted as a regular paper. The paper was invited and incorporated into the Special Issue on Advances in Fuzzy Inference and its Related Techniques.

Cite this article as:
N. Yagi, Y. Oshiro, T. Ishikawa, and <. Hata, “YURAGI Synthesis for Ultrasonic Human Brain Imaging,” J. Adv. Comput. Intell. Intell. Inform., Vol.17, No.1, pp. 74-82, 2013.
Data files:
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Last updated on Jul. 04, 2020