Classification of arterial plaque by spectral analysis of in vitro radio frequency intravascular ultrasound data

Watson, Robin J.; McLean, Callie; Moore, Michelle; Spencer, Timothy R; Salter, Donald; Anderson, Tom; Fox, Keith A.A.; McDicken, W. Norman

doi:10.1016/s0301-5629(99)00112-x

Cited by 57 publications

(30 citation statements)

References 33 publications

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“…A number of experimental studies utilizing these models have been performed (Insana 1996;Hosokawa et al 1994;Garra et al 1994), including characterization of renal disease (Insana 1996;Garra et al 1994), liver disease (Stetson and Sommer 1997), breast tumors (Anderson et al 2001;Donohue et al 2001), skin (Fournier et al 2001) and atherosclerotic plaque (Moore et al 1998;Watson et al 2000;Nair et al 2001), among others. This general methodology has been applied by our research group for characterization of ocular tumors (Coleman et al 2004;Liu et al 2004;Silverman et al 2003) and prostate cancer (Feleppa et al 2002;Feleppa et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Improved visualization of high-intensity focused ultrasound lesions

Silverman

Muratore

Ketterling

et al. 2006

Ultrasound in Medicine & Biology

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Spectral parameter imaging in both the fundamental and harmonic of backscattered radiofrequency (RF) data was used for immediate visualization of high-intensity focused ultrasound (HIFU) lesion sites. A focused 5-MHz HIFU transducer with a coaxial 9-MHz focused single-element diagnostic transducer was used to create and scan lesions in chicken breast and freshly excised rabbit liver. Bmode images derived from the backscattered RF signal envelope were compared with midband fit (MBF) spectral parameter images in the fundamental (9-MHz) and harmonic (18-MHz) bands of the diagnostic probe. Images of HIFU-induced lesions derived from the MBF to the calibrated spectrum showed improved contrast (~ 3 dB) of tumor margins versus surround compared to images produced from the conventional signal envelope. MBF parameter images produced from the harmonic band showed higher contrast in attenuated structures (core, shadow) compared to either the conventional envelope (3.3 dB core; 11.6 dB shadow) or MBF images of the fundamental band (4.4 dB core; 7.4 dB shadow). The gradient between the lesion and surround was 3.4 dB/mm, 6.9 dB/mm and 17.2 dB/mm for B-mode, MBF-fundamental mode and MBF-harmonic mode respectively. Images of threshold and 'popcorn' lesions produced in freshly excised rabbit liver were most easily visualized and boundaries best defined using MBF-harmonic mode.

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Section: Introductionmentioning

confidence: 99%

Improved visualization of high-intensity focused ultrasound lesions

Silverman

Muratore

Ketterling

et al. 2006

Ultrasound in Medicine & Biology

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“…8 Spectral analysis of the radiofrequency (RF) ultrasound signals allows detailed assessment of plaque composition. Previous studies by our group 9 and others 10,11 have demonstrated its potential for discerning plaque components in real time. However, few quantitative histological comparisons or validations exist.…”

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confidence: 97%

Coronary Plaque Classification With Intravascular Ultrasound Radiofrequency Data Analysis

et al. 2002

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Background-Atherosclerotic plaque stability is related to histological composition. However, current diagnostic tools do not allow adequate in vivo identification and characterization of plaques. Spectral analysis of backscattered intravascular ultrasound (IVUS) data has potential for real-time in vivo plaque classification. Methods and Results-Eighty-eight plaques from 51 left anterior descending coronary arteries were imaged ex vivo at physiological pressure with the use of 30-MHz IVUS transducers. After IVUS imaging, the arteries were pressure-fixed and corresponding histology was collected in matched images. Regions of interest, selected from histology, were 101 fibrous, 56 fibrolipidic, 50 calcified, and 70 calcified-necrotic regions. Classification schemes for model building were computed for autoregressive and classic Fourier spectra by using 75% of the data. The remaining data were used for validation. Autoregressive classification schemes performed better than those from classic Fourier spectra with accuracies of 90.4% for fibrous, 92.8% for fibrolipidic, 90.9% for calcified, and 89.5% for calcified-necrotic regions in the training data set and 79.7%, 81.2%, 92.8%, and 85.5% in the test data, respectively. Tissue maps were reconstructed with the use of accurate predictions of plaque composition from the autoregressive classification scheme. Conclusions-Coronary plaque composition can be predicted through the use of IVUS radiofrequency data analysis.Autoregressive classification schemes performed better than classic Fourier methods. These techniques allow real-time analysis of IVUS data, enabling in vivo plaque characterization. (Circulation. 2002;106:2200-2206.)

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“…They have found application in clinical intravascular studies (Waters et al 2003;Watson et al 2000). Integrated backscatter (IB) intravascular ultrasound uses a measure of the average power of the backscattered signal.…”

Section: Backscattermentioning

confidence: 99%