Denoising of Contrast-Enhanced Ultrasound Cine Sequences Based on a Multiplicative Model

Bar‐Zion, Avinoam; Tremblay-Darveau, Charles; Yin, Melissa; Adam, Dan; Foster, F. Stuart

doi:10.1109/tbme.2015.2407835

Cited by 21 publications

(11 citation statements)

References 25 publications

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“…To estimate the local time-intensity curves (TIC) in the DCEUS movies, temporal wavelet denoising was applied to each pixel in the scans (13). From the denoised scans, three different perfusion parameters were estimated, producing high-resolution parametric maps of the tumors: peak enhancement, the difference between maximum amplitude, and the baseline intensity of the wash-in curve, used as an indication of the tumor blood volume; wash-in rate, the maximum slope of the curve, used as an indication of blood flow rate; and area under the curve, the integrated difference between the intensity value and its baseline.…”

Section: Image Analysismentioning

confidence: 99%

Functional Flow Patterns and Static Blood Pooling in Tumors Revealed by Combined Contrast-Enhanced Ultrasound and Photoacoustic Imaging

et al. 2016

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Alterations in tumor perfusion and microenvironment have been shown to be associated with aggressive cancer phenotypes, raising the need for noninvasive methods of tracking these changes. Dynamic contrast-enhanced ultrasound (DCEUS) and photoacoustic (PA) imaging serve as promising candidates-one has the ability to measure tissue perfusion, whereas the other can be used to monitor tissue oxygenation and hemoglobin concentration. In this study, we investigated the relationship between the different functional parameters measured with DCEUS and PA imaging, using two morphologically different hind-limb tumor models and drug-induced alterations in an orthotopic breast tumor model. Imaging results showed some correlation between perfusion and oxygen saturation maps and the ability to sensitively monitor antivascular treatment. In addition, DCEUS measurements revealed different vascular densities in the core of specific tumors compared with their rims. Noncorrelated perfusion and hemoglobin concentration measurements facilitated discrimination between blood lakes and necrotic areas. Taken together, our results illustrate the utility of a combined contrast-enhanced ultrasound method with photoacoustic imaging to visualize blood flow patterns in tumors.Cancer Res; 76(15); 4320-31. Ó2016 AACR.

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Section: Image Analysismentioning

confidence: 99%

Functional Flow Patterns and Static Blood Pooling in Tumors Revealed by Combined Contrast-Enhanced Ultrasound and Photoacoustic Imaging

et al. 2016

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“…However, these results must be considered within the context of the curve‐fitting performed in this study. A number of groups have shown that the multiplicative nature of speckle noise in CEUS cine loops necessitates the use of MLE fitting of indicator‐dilution curve models instead of a nonlinear least squares method. There is a possibility that switching to MLE for LDRW fitting would result in improved discrimination of treatment groups.…”

Section: Discussionmentioning

confidence: 99%

“…This is particularly important in the early wash‐in phases of contrast‐enhancement. Addressing this would require a change in the parameterized distribution from an exponential to a K distribution, but the gain in model accuracy may be outweighed by decrease in parameter estimation stability.…”

Section: Discussionmentioning

confidence: 99%

Compound speckle model detects anti‐angiogenic tumor response in preclinical nonlinear contrast‐enhanced ultrasonography

et al. 2017

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“…Moreover, fitting single-pixel TICs is especially challenging because of lower signal-to-noise ratios. Next to standard least-squares approaches, several authors have introduced maximum-likelihood approaches that account for the statistics of arrival times (measured TIC) as well as noise, which has non-stationary characteristics depending on the UCA concentration levels (Barrois et al 2013;Kuenen et al 2013a;Bar-Zion et al 2015). In Figure 6 is an example of a parametric map of local dispersion obtained in prostate tissue.…”

Section: Temporal Analysismentioning

confidence: 99%

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling to Machine Learning

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Frinking

Wildeboer

et al. 2020

Ultrasound in Medicine & Biology

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Ultrasound contrast agents (UCAs) have opened up immense diagnostic possibilities by combined use of indicator dilution principles and dynamic contrast-enhanced ultrasound (DCE-US) imaging. UCAs are microbubbles encapsulated in a biocompatible shell. With a rheology comparable to that of red blood cells, UCAs provide an intravascular indicator for functional imaging of the (micro)vasculature by quantitative DCE-US. Several models of the UCA intravascular kinetics have been proposed to provide functional quantitative maps, aiding diagnosis of different pathological conditions. This article is a comprehensive review of the available methods for quantitative DCE-US imaging based on temporal, spatial and spatiotemporal analysis of the UCA kinetics. The recent introduction of novel UCAs that are targeted to specific vascular receptors has advanced DCE-US to a molecular imaging modality. In parallel, new kinetic models of increased complexity have been developed. The extraction of multiple quantitative maps, reflecting complementary variables of the underlying physiological processes, requires an integrative approach to their interpretation. A probabilistic framework based on emerging machine-learning methods represents nowadays the ultimate approach, improving the diagnostic accuracy of DCE-US imaging by optimal combination of the extracted complementary information. The current value and future perspective of all these advances are critically discussed.

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Denoising of Contrast-Enhanced Ultrasound Cine Sequences Based on a Multiplicative Model

Cited by 21 publications

References 25 publications

Functional Flow Patterns and Static Blood Pooling in Tumors Revealed by Combined Contrast-Enhanced Ultrasound and Photoacoustic Imaging

Functional Flow Patterns and Static Blood Pooling in Tumors Revealed by Combined Contrast-Enhanced Ultrasound and Photoacoustic Imaging

Compound speckle model detects anti‐angiogenic tumor response in preclinical nonlinear contrast‐enhanced ultrasonography

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling to Machine Learning

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