11 March 2015 Assessing carotid atherosclerosis by fiber-optic multispectral photoacoustic tomography
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Atherosclerotic plaque at the carotid bifurcation is the underlying cause of the majority of ischemic strokes. Noninvasive imaging and quantification of the compositional changes preceding gross anatomic changes within the arterial wall is essential for diagnosis of disease. Current imaging modalities such as duplex ultrasound, computed tomography, positron emission tomography are limited by the lack of compositional contrast and the detection of flow-limiting lesions. Although high-resolution magnetic resonance imaging has been developed to characterize atherosclerotic plaque composition, its accessibility for wide clinical use is limited. Here, we demonstrate a fiber-based multispectral photoacoustic tomography system for excitation of lipids and external acoustic detection of the generated ultrasound. Using sequential ultrasound imaging of ex vivo preparations we achieved ~2 cm imaging depth and chemical selectivity for assessment of human arterial plaques. A multivariate curve resolution alternating least squares analysis method was applied to resolve the major chemical components, including intravascular lipid, intramuscular fat, and blood. These results show the promise of detecting carotid plaque in vivo through esophageal fiber-optic excitation of lipids and external acoustic detection of the generated ultrasound. This imaging system has great potential for serving as a point-ofcare device for early diagnosis of carotid artery disease in the clinic.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Hui, Jie Hui, Rui Li, Rui Li, Pu Wang, Pu Wang, Evan Phillips, Evan Phillips, Rebecca Bruning, Rebecca Bruning, Chien-Sheng Liao, Chien-Sheng Liao, Michael Sturek, Michael Sturek, Craig J. Goergen, Craig J. Goergen, Ji-Xin Cheng, Ji-Xin Cheng, "Assessing carotid atherosclerosis by fiber-optic multispectral photoacoustic tomography", Proc. SPIE 9323, Photons Plus Ultrasound: Imaging and Sensing 2015, 93233S (11 March 2015); doi: 10.1117/12.2076999; https://doi.org/10.1117/12.2076999

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