Detection of lipid-laden atherosclerotic plaque by wavelet analysis of radiofrequency intravascular ultrasound signals : In vitro validation and preliminary in vivo application

This study examined the feasibility of using a wavelet analysis of radiofrequency (RF) intravascular ultrasound (IVUS) signals in detecting lipid-laden plaque. Wavelet analysis is a new mathematical model for assessing local changes in a geometrical profile of time-series signals. Radiofrequency IVU...

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Veröffentlicht in:Journal of the American College of Cardiology 2005-06, Vol.45 (12), p.1954-1960
Hauptverfasser: MURASHIGE, Akihiro, HIRO, Takafumi, FUJII, Takashi, IMOTO, Koji, MURATA, Takashige, FUKUMOTO, Yusaku, MATSUZAKI, Masunori
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container_end_page 1960
container_issue 12
container_start_page 1954
container_title Journal of the American College of Cardiology
container_volume 45
creator MURASHIGE, Akihiro
HIRO, Takafumi
FUJII, Takashi
IMOTO, Koji
MURATA, Takashige
FUKUMOTO, Yusaku
MATSUZAKI, Masunori
description This study examined the feasibility of using a wavelet analysis of radiofrequency (RF) intravascular ultrasound (IVUS) signals in detecting lipid-laden plaque. Wavelet analysis is a new mathematical model for assessing local changes in a geometrical profile of time-series signals. Radiofrequency IVUS signals of 85 arbitrarily selected vectors were acquired from 27 formalin-fixed noncalcified atherosclerotic plaques from human necropsy with a digitizer at 500 MHz with 8-bit resolution by use of a 40-MHz IVUS catheter. Wavelet analysis of these RF signals was performed using a Daubechies-2 wavelet to obtain a color-coded map of the correlation coefficient with the wavelet reconstructed over the x-y plane of the wavelet scale and the distance from the IVUS catheter. The plaque segment was then examined histologically after being stained with Masson's trichrome stain. This technique also was applied in vivo in 29 human coronary plaque segments. These segments were excised subsequently by directional coronary atherectomy and processed for histologic analysis. In the in vitro study, histologic examination revealed lipid-laden segments in 29 vectors. When performing a wavelet analysis with the Daubechies-2 wavelet, the color-coded mapping revealed a different pattern in lipid-laden plaques compared with other types of plaque. Using this wavelet analysis, lipid-laden plaque could be detected with a sensitivity of 83% (24 of 29) and a specificity of 82% (46 of 56). In the in vivo study, fatty plaque could be detected with a sensitivity of 81% (13 of 16) and a specificity of 85% (11 of 13) with this method. Wavelet analysis of RF IVUS signals enabled in vitro as well as in vivo detection of lipid-laden plaque. This method may be useful in assessing plaque vulnerability in patients with coronary artery disease.
doi_str_mv 10.1016/j.jacc.2004.10.080
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Wavelet analysis is a new mathematical model for assessing local changes in a geometrical profile of time-series signals. Radiofrequency IVUS signals of 85 arbitrarily selected vectors were acquired from 27 formalin-fixed noncalcified atherosclerotic plaques from human necropsy with a digitizer at 500 MHz with 8-bit resolution by use of a 40-MHz IVUS catheter. Wavelet analysis of these RF signals was performed using a Daubechies-2 wavelet to obtain a color-coded map of the correlation coefficient with the wavelet reconstructed over the x-y plane of the wavelet scale and the distance from the IVUS catheter. The plaque segment was then examined histologically after being stained with Masson's trichrome stain. This technique also was applied in vivo in 29 human coronary plaque segments. These segments were excised subsequently by directional coronary atherectomy and processed for histologic analysis. In the in vitro study, histologic examination revealed lipid-laden segments in 29 vectors. When performing a wavelet analysis with the Daubechies-2 wavelet, the color-coded mapping revealed a different pattern in lipid-laden plaques compared with other types of plaque. Using this wavelet analysis, lipid-laden plaque could be detected with a sensitivity of 83% (24 of 29) and a specificity of 82% (46 of 56). In the in vivo study, fatty plaque could be detected with a sensitivity of 81% (13 of 16) and a specificity of 85% (11 of 13) with this method. Wavelet analysis of RF IVUS signals enabled in vitro as well as in vivo detection of lipid-laden plaque. 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Vascular system</topic><topic>Cardiovascular disease</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary vessels</topic><topic>Data processing</topic><topic>Feasibility Studies</topic><topic>Heart attacks</topic><topic>Histology</topic><topic>Humans</topic><topic>In Vitro Techniques</topic><topic>Lipids</topic><topic>Mathematical Computing</topic><topic>Mathematical models</topic><topic>Medical sciences</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Radio Waves</topic><topic>Sensitivity and Specificity</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Ultrasonography, Interventional - methods</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MURASHIGE, Akihiro</creatorcontrib><creatorcontrib>HIRO, Takafumi</creatorcontrib><creatorcontrib>FUJII, Takashi</creatorcontrib><creatorcontrib>IMOTO, Koji</creatorcontrib><creatorcontrib>MURATA, Takashige</creatorcontrib><creatorcontrib>FUKUMOTO, Yusaku</creatorcontrib><creatorcontrib>MATSUZAKI, Masunori</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American College of Cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MURASHIGE, Akihiro</au><au>HIRO, Takafumi</au><au>FUJII, Takashi</au><au>IMOTO, Koji</au><au>MURATA, Takashige</au><au>FUKUMOTO, Yusaku</au><au>MATSUZAKI, Masunori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of lipid-laden atherosclerotic plaque by wavelet analysis of radiofrequency intravascular ultrasound signals : In vitro validation and preliminary in vivo application</atitle><jtitle>Journal of the American College of Cardiology</jtitle><addtitle>J Am Coll Cardiol</addtitle><date>2005-06-21</date><risdate>2005</risdate><volume>45</volume><issue>12</issue><spage>1954</spage><epage>1960</epage><pages>1954-1960</pages><issn>0735-1097</issn><eissn>1558-3597</eissn><coden>JACCDI</coden><abstract>This study examined the feasibility of using a wavelet analysis of radiofrequency (RF) intravascular ultrasound (IVUS) signals in detecting lipid-laden plaque. Wavelet analysis is a new mathematical model for assessing local changes in a geometrical profile of time-series signals. Radiofrequency IVUS signals of 85 arbitrarily selected vectors were acquired from 27 formalin-fixed noncalcified atherosclerotic plaques from human necropsy with a digitizer at 500 MHz with 8-bit resolution by use of a 40-MHz IVUS catheter. Wavelet analysis of these RF signals was performed using a Daubechies-2 wavelet to obtain a color-coded map of the correlation coefficient with the wavelet reconstructed over the x-y plane of the wavelet scale and the distance from the IVUS catheter. The plaque segment was then examined histologically after being stained with Masson's trichrome stain. This technique also was applied in vivo in 29 human coronary plaque segments. These segments were excised subsequently by directional coronary atherectomy and processed for histologic analysis. In the in vitro study, histologic examination revealed lipid-laden segments in 29 vectors. When performing a wavelet analysis with the Daubechies-2 wavelet, the color-coded mapping revealed a different pattern in lipid-laden plaques compared with other types of plaque. Using this wavelet analysis, lipid-laden plaque could be detected with a sensitivity of 83% (24 of 29) and a specificity of 82% (46 of 56). In the in vivo study, fatty plaque could be detected with a sensitivity of 81% (13 of 16) and a specificity of 85% (11 of 13) with this method. Wavelet analysis of RF IVUS signals enabled in vitro as well as in vivo detection of lipid-laden plaque. This method may be useful in assessing plaque vulnerability in patients with coronary artery disease.</abstract><cop>New York, NY</cop><pub>Elsevier Science</pub><pmid>15963392</pmid><doi>10.1016/j.jacc.2004.10.080</doi><tpages>7</tpages></addata></record>
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1558-3597
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source MEDLINE; Elsevier ScienceDirect Journals; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Aged
Atherosclerosis (general aspects, experimental research)
Biological and medical sciences
Blood and lymphatic vessels
Cardiology
Cardiology. Vascular system
Cardiovascular disease
Coronary Artery Disease - diagnostic imaging
Coronary vessels
Data processing
Feasibility Studies
Heart attacks
Histology
Humans
In Vitro Techniques
Lipids
Mathematical Computing
Mathematical models
Medical sciences
Methods
Middle Aged
Radio Waves
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Ultrasonography, Interventional - methods
Wavelet transforms
title Detection of lipid-laden atherosclerotic plaque by wavelet analysis of radiofrequency intravascular ultrasound signals : In vitro validation and preliminary in vivo application
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