Title :
Acoustic radiation force beam sequence performance for detection and material characterization of atherosclerotic plaques: preclinical, ex vivo results
Author :
Behler, Russell ; Czernuszewicz, Tomasz J. ; Chih-da Wu ; Nichols, Timothy C. ; Hongtu Zhu ; Homeister, Jonathon W. ; Merricks, Elizabeth P. ; Gallippi, Caterina M.
Author_Institution :
Joint Dept. of Biomed. Eng., Univ. of North Carolina & North Carolina State Univ., Chapel Hill, NC, USA
Abstract :
This work presents preclinical data demonstrating performance of acoustic radiation force (ARF)-based elasticity imaging with five different beam sequences for atherosclerotic plaque detection and material characterization. Twelve trained, blinded readers evaluated parametric images taken ex vivo under simulated in vivo conditions of 22 porcine femoral arterial segments. Receiver operating characteristic (ROC) curve analysis was carried out to quantify reader performance using spatially-matched immunohistochemistry for validation. The beam sequences employed had high sensitivity (sens) and specificity (spec) for detecting Type III+ plaques (sens: 85%, spec: 79%), lipid pools (sens: 80%, spec: 86%), fibrous caps (sens: 86%, spec: 82%), calcium (sens: 96%, spec: 85%), collagen (sens: 78%, spec: 77%), and disrupted internal elastic lamina (sens: 92%, spec: 75%). 1:1 single-receive tracking yielded the highest median areas under the ROC curve (AUC), but was not statistically significantly higher than 4:1 parallel-receive tracking. Excitation focal configuration did not result in statistically different AUCs. Overall, these results suggest ARF-based imaging is relevant to detecting and characterizing plaques and support its use for diagnosing and monitoring atherosclerosis.
Keywords :
biomedical ultrasonics; blood vessels; diseases; elasticity; patient monitoring; proteins; sensitivity analysis; ARF-based imaging; AUC; ROC curve analysis; acoustic radiation force beam sequence performance; acoustic radiation force-based elasticity imaging; atherosclerosis diagnosis; atherosclerosis monitoring; atherosclerotic plaque detection; collagen; excitation focal configuration; fibrous caps; internal elastic lamina; lipid pools; material characterization; parametric image; porcine femoral arterial segments; receiver operating characteristic curve analysis; simulated in vivo condition; spatially-matched immunohistochemistry; Acoustics; Arteries; Atherosclerosis; Imaging; In vivo; Lipidomics; Materials; Algorithms; Animals; Elasticity Imaging Techniques; Femoral Artery; Image Processing, Computer-Assisted; Phantoms, Imaging; Plaque, Atherosclerotic; ROC Curve; Swine;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
DOI :
10.1109/TUFFC.2013.2847