Methodical study on plaque characterization using integrated vascular ultrasound, strain and spectroscopic photoacoustic imaging

Graf, Iulia M.; Su, Jimmy; Yeager, Doug; Amirian, James; Smalling, Richard W.; Emelianov, Stanislav

doi:10.1117/12.875689

Cited by 9 publications

(6 citation statements)

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“…PA imaging has been demonstrated as a potential means of assessing plaque composition through both extravascular 19 and intravascular photoacoustic (IVPA) imaging. 89 IVPA imaging catheters consisting of a commercially available intravascular ultrasound (IVUS) imaging catheter coupled with an optical fiber providing either side-fire or mirror-based deflection of light to create an overlap of US and optical beams have been described 29,37 and demonstrated for ex vivo imaging of lipids.…”

Section: Imaging Of Atherosclerotic Plaquesmentioning

confidence: 99%

Biomedical Applications of Photoacoustic Imaging with Exogenous Contrast Agents

2011

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Photoacoustic imaging is a biomedical imaging modality that provides functional information, and, with the help of exogenous contrast agents, cellular and molecular signatures of tissue. In this article, we review the biomedical applications of photoacoustic imaging assisted with exogenous contrast agents. Dyes, noble metal nanoparticles, and other constructs are contrast agents which absorb strongly in the near-infrared band of the optical spectrum and generate strong photoacoustic response. These contrast agents, which can be specifically targeted to molecules or cells, have been coupled with photoacoustic imaging for preclinical and clinical applications ranging from detection of cancer cells, sentinel lymph nodes, and micrometastasis to angiogenesis to characterization of atherosclerotic plaques. Multi-functional agents have also been developed, which can carry drugs or simultaneously provide contrast in multiple imaging modalities. Furthermore, contrast agents were used to guide and monitor the therapeutic procedures. Overall, photoacoustic imaging shows significant promise in its ability to assist in diagnosis, therapy planning, and monitoring of treatment outcome for cancer, cardiovascular disease, and other pathologies.

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Section: Imaging Of Atherosclerotic Plaquesmentioning

confidence: 99%

Biomedical Applications of Photoacoustic Imaging with Exogenous Contrast Agents

2011

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“…1(a)] allows for the extraction of different anatomical properties of the artery wall, and plaque that can be most useful to the physicians for the evaluation of plaque development and the process of atherosclerosis in modeling and evaluating the risks for future cardiovascular events. Ultrasound, elastography, and other imaging methods such as spectroscopic photoacoustic imaging can be integrated to advance the characterization of the plaques and corresponding vulnerability [3] because the variation in the mechanical properties of the different tissue types is huge [4]. For example, the elasticity modulus of calcified plaque material is 50 times higher than the modulus of cellular plaque tissue [1].…”

Section: Introductionmentioning

confidence: 99%

“…The availability and evaluation of different characteristics of carotid plaque is of outmost importance especially because it is widely accepted that the experts are only moderately confident that there is adequate evidence to determine which interventions to use for different patient populations [3]. However the manual segmentation of the plaque in the cca in ultrasound video [see also Fig.…”

Section: Introductionmentioning

confidence: 99%

An integrated system for the segmentation of atherosclerotic carotid plaque ultrasound video

Loizou

Petroudi

Pantziaris³

et al. 2014

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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The robust border identification of atherosclerotic carotid plaque, the corresponding degree of stenosis of the common carotid artery (CCA), and also the characteristics of the arterial wall, including plaque size, composition, and elasticity, have significant clinical relevance for the assessment of future cardiovascular events. To facilitate the follow-up and analysis of the carotid stenosis in serial clinical investigations, we propose and evaluate an integrated system for the segmentation of atherosclerotic carotid plaque in ultrasound videos of the CCA based on video frame normalization, speckle reduction filtering, M-mode state-based identification, parametric active contours, and snake segmentation. Initially, the cardiac cycle in each video is identified and the video M-mode is generated, thus identifying systolic and diastolic states. The video is then segmented for a time period of at least one full cardiac cycle. The algorithm is initialized in the first video frame of the cardiac cycle, with human assistance if needed, and the moving atherosclerotic plaque borders are tracked and segmented in the subsequent frames. Two different initialization methods are investigated in which initial contours are estimated every 20 video frames. In the first initialization method, the initial snake contour is estimated using morphology operators; in the second initialization method, the Chan-Vese active contour model is used. The performance of the algorithm is evaluated on 43 real CCA digitized videos from B-mode longitudinal ultrasound segments and is compared with the manual segmentations of an expert, available every 20 frames in a time span of 3 to 5 s, covering, in general, 2 cardiac cycles. The segmentation results were very satisfactory, according to the expert objective evaluation, for the two different methods investigated, with true-negative fractions (TNF-specificity) of 83.7 ± 7.6% and 84.3 ± 7.5%; true-positive fractions (TPF-sensitivity) of 85.42 ± 8.1% and 86.1 ± 8.0%; and between the ground truth and the proposed segmentation method, kappa indices (KI) of 84.6% and 85.3% and overlap indices of 74.7% and 75.4%. The segmentation contours were also used to compute the cardiac state identification and radial, longitudinal, and shear strain indices for the CCA wall and plaque between the asymptomatic and symptomatic groups were investigated. The results of this study show that the integrated system investigated in this study can be successfully used for the automated video segmentation of the CCA plaque in ultrasound videos.

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“…As will be described in the following sections, the assessment of plaque vulnerability and risk of potential rupture is very difficult noninvasively [36, 37]. And the three-dimensional (3D) US vessel wall volume (VWV) measurement is a 3D measurement of the vessel wall thickness plus plaque within the carotid arteries.…”

Section: Methodsmentioning

confidence: 99%

Ultrasound Common Carotid Artery Segmentation Based on Active Shape Model

Yang

Jin

et al. 2013

Computational and Mathematical Methods in Medicine

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Carotid atherosclerosis is a major reason of stroke, a leading cause of death and disability. In this paper, a segmentation method based on Active Shape Model (ASM) is developed and evaluated to outline common carotid artery (CCA) for carotid atherosclerosis computer-aided evaluation and diagnosis. The proposed method is used to segment both media-adventitia-boundary (MAB) and lumen-intima-boundary (LIB) on transverse views slices from three-dimensional ultrasound (3D US) images. The data set consists of sixty-eight, 17 × 2 × 2, 3D US volume data acquired from the left and right carotid arteries of seventeen patients (eight treated with 80 mg atorvastatin and nine with placebo), who had carotid stenosis of 60% or more, at baseline and after three months of treatment. Manually outlined boundaries by expert are adopted as the ground truth for evaluation. For the MAB and LIB segmentations, respectively, the algorithm yielded Dice Similarity Coefficient (DSC) of 94.4% ± 3.2% and 92.8% ± 3.3%, mean absolute distances (MAD) of 0.26 ± 0.18 mm and 0.33 ± 0.21 mm, and maximum absolute distances (MAXD) of 0.75 ± 0.46 mm and 0.84 ± 0.39 mm. It took 4.3 ± 0.5 mins to segment single 3D US images, while it took 11.7 ± 1.2 mins for manual segmentation. The method would promote the translation of carotid 3D US to clinical care for the monitoring of the atherosclerotic disease progression and regression.

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Methodical study on plaque characterization using integrated vascular ultrasound, strain and spectroscopic photoacoustic imaging

Cited by 9 publications

References 0 publications

Biomedical Applications of Photoacoustic Imaging with Exogenous Contrast Agents

Biomedical Applications of Photoacoustic Imaging with Exogenous Contrast Agents

An integrated system for the segmentation of atherosclerotic carotid plaque ultrasound video

Ultrasound Common Carotid Artery Segmentation Based on Active Shape Model

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