| Project/Area Number |
15590752
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Circulatory organs internal medicine
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| Research Institution | Yamaguchi University |
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Principal Investigator |
FUJII Takashi Yamaguchi University, School of Medicine, Associate Professor, 医学部, 助教授 (60228947)
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| Co-Investigator(Kenkyū-buntansha) |
HIRO Takafumi Yamaguchi University, University Hospital, Research Associate, 医学部附属病院, 助手 (10294638)
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| Project Period (FY) |
2003 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥3,000,000 (Direct Cost: ¥3,000,000)
Fiscal Year 2004: ¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2003: ¥1,500,000 (Direct Cost: ¥1,500,000)
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| Keywords | Wavelet analysis / Intravascular Ultrasound / unstable plaque / Color mapping system / Coronary plaque |
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| Research Abstract |
Background and Objects : Wavelet analysis is a new mathematical model for assessing local changes in geometrical profile of time-series signals. We previously reported that Wavelet analysis of video-images of intravascular ultrasound (IVUS) might be useful for detecting lipid-rich area with atherosclerotic plaque in vivo. The purpose of this study is the development of real-time color intravascular ultrasound using Wavelet Analysis. Methods : IVUS signals were acquired from 32 formalin-fixed noncalcifled atherosclerotic plaques from human necropsy by a 40MHz IVUS catheter. Wavelet analysis of these images was performed with Daubechies-2 wavelet to obtain the correlation coefficient with the wavelet reconstructed over the x-y plane of the wavelet scale and the distance from IVUS catheter. Results : Histological examination revealed lipid-laden segment in 26 plaques. When performing a wavelet analysis, the bird eye view revealed an apparently different pattern in lipid-laden plaque compared to other types of plaque. Using this wavelet analysis, the lipid-laden plaque could be detected with sensitivity of 81% (26/32) and specificity of 80%.
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