NDLI: Classification of atherosclerotic plaque composition by spectral analysis of intravascular ultrasound data

Content Provider	IEEE Xplore Digital Library
Author	Nair, A. Obuchowski, N. Kuban, B.D. Vince, D.G.
Copyright Year	2001
Description	Author affiliation: Dept. of Biomed. Eng., Cleveland Clinic Found., OH, USA (Nair, A.)
Abstract	Knowledge of atherosclerotic plaque composition in vivo would be a tremendous aid towards selection of appropriate clinical intervention and timely detection of unstable atheroma. Spectral analysis of backscattered intravascular ultrasound (IVUS) data has demonstrated ability to characterize plaque. Spectral parameters such as slope, midband fit and y-intercept are indicative of scatterer size, concentration and acoustic impedance. In this study, we compared the ability of spectral parameters computed via the Welch power spectrum (PSD) and autoregressive (AR) models to classify plaque composition. Data was collected in vitro from 32 left anterior descending coronary arteries, with 30 MHz non-focused IVUS transducers in saline at physiologic pressure. Regions of interest (ROI), selected from histology, comprised 64 collagen-rich, 24 fibro-lipidic, 23 calcified and 37 calcified-necrotic regions. A novel quantitative method was used for IVUS data correlation with corresponding histology sections. Periodograms of IVUS samples, identified for each ROI, were used to calculate various spectral parameters (such as the midband fit, slope, y-intercept, and maximum power). Statistical classification trees (CT) were computed with 75% of the data for plaque characterization. The remaining data were utilized to assess the accuracy of the CTs. The overall accuracies with the Welch PSD and AR model (order 14) were 85.6% and 81.1% on the training data, 64.9% and 37.8% on the test data, respectively. These numbers were improved to 91.9% and 89.2% on training data, 73% and 59.5% on test data, when the calcified and calcified-necrotic regions were combined for analysis. Further analysis with AR model order number and level of zero padding increased the overall accuracy, with individual sensitivities to collagen of 91.7%, calcium of 88.9%, and fibro-lipid of 83.3%. Most of the CTs mis-classified few fibro-lipidic regions as collagen, which is histologically acceptable.
Sponsorship	Ultrasonics, Ferroelectr., & Frequency Control Soc
Starting Page	1569
Ending Page	1572
File Size	371844
Page Count	4
File Format	PDF
ISBN	0780371771
DOI	10.1109/ULTSYM.2001.992020
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training data Testing In vivo Acoustic signal detection Spectral analysis Ultrasonic imaging Acoustic scattering Scattering parameters Impedance In vitro
Content Type	Text
Resource Type	Article

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