Assessing spectral algorithms to predict atherosclerotic plaque composition with normalized and raw intravascular ultrasound data

Impact of Remnant Lipoprotein on Coronary Plaque Components

“…IVUS backscattered data provides additional information about the precise plaque composition on the anatomical images obtained by the gray scale IVUS 8,24) . Virtual histology TM IVUS (VH-IVUS), iMAP-IVUS, and integrated backscatter IVUS (IB-IVUS) have been invented to incorporate the auto-regressive spectral analysis of backscatter IVUS data into the conventional IVUS system and facilitate image interpretation of different tissue components 12,25,26) .…”

Coronary Plaque Classification With Intravascular Ultrasound Radiofrequency Data Analysis

“…This setup has been tested and used by our group in previous studies. 9,18 Data Acquisition: IVUS and Histology IVUS data were acquired with a Hewlett-Packard SONOS clinical IVUS console (Hewlett-Packard Co) and 30-MHz, 2.9F, mechanically rotating IVUS catheters (Boston Scientific Corp). After interrogating each vessel with an IVUS catheter, sections with substantial plaque (on average 2 regions per vessel) were identified for data acquisition by manual pullback.…”

“…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.…”

“…Various spectral algorithms were compared to assess those best suited for IVUS biological signals. 9 The RF information was used to reconstruct tissue maps in an attempt to provide real-time classification of plaques.…”

Improved visualization of high-intensity focused ultrasound lesions

“…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).…”