Unsupervised dealiasing and denoising of color-Doppler data

Muth, Stéphan; Dort, Sarah; Sebag, Igal A.; Blais, Marie-Josée; Garcia, Damien

doi:10.1016/j.media.2011.03.003

Cited by 37 publications

(39 citation statements)

References 34 publications

(47 reference statements)

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“…In addition, the accuracy is necessarily dependent on the accuracy of the Doppler color data. Improving the basic color flow with an optimum Nyquist limit to reduce lower velocities from being filtered out and automating the process of de-aliasing the color data will be helpful in future development of these methods (21). Novel techniques for the reconstruction of the blood flow using 2D or 3D Doppler imaging are currently under investigation.…”

Section: Color Doppler Echocardiographymentioning

confidence: 99%

Emerging Trends in CV Flow Visualization

Sengupta

Pedrizzetti

Kilner

et al. 2012

JACC: Cardiovascular Imaging

222

186

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Blood flow patterns are closely linked to the morphology and function of the cardiovascular system. These patterns reflect the exceptional adaptability of the cardiovascular system to maintain normal blood circulation under a wide range of workloads. Accurate retrieval and display of flow-related information remains a challenge because of the processes involved in mapping the flow velocity fields within specific chambers of the heart. We review the potentials and pitfalls of current approaches for blood flow visualization, with an emphasis on acquisition, display, and analysis of multidirectional flow. This document is divided into 3 sections. First, we provide a descriptive outline of the relevant concepts in cardiac fluid mechanics, including the emergence of rotation in flow and the variables that delineate vortical structures. Second, we elaborate on the main methods developed to image and visualize multidirectional cardiovascular flow, which are mainly based on cardiac magnetic resonance, ultrasound Doppler, and contrast particle imaging velocimetry, with recommendations for developing dedicated imaging protocols. Finally, we discuss the potential clinical applications and technical challenges with suggestions for further investigations.

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Section: Color Doppler Echocardiographymentioning

confidence: 99%

Emerging Trends in CV Flow Visualization

Sengupta

Pedrizzetti

Kilner

et al. 2012

JACC: Cardiovascular Imaging

222

186

View full text Add to dashboard Cite

show abstract

“…These values were chosen to be consistent with clinical observations (Garcia et al 2010). The Doppler fields were dealiased and smoothed using an unsupervised denoising method (Garcia 2010;Muth et al 2011). For each Doppler field, the blood vortex signature (BVS) was calculated from the simulated polar Doppler data using Eq.…”

Section: Numerical Simulationsmentioning

confidence: 99%

“…Furthermore, the Doppler SNR was generally high in most cases during early filling. Low SNR Doppler images were successfully dealiased and denoised using the robust DCT-based smoother (Muth et al 2011). It should be noted that denoising does not influence vortex detection significantly due to the presence of a covariance-based filter; but it is required in order to get a consistent estimate of the core vorticity since an angular derivative is necessary (see equation 7).…”

Section: Technical Limitations Of Doppler Vortographymentioning

confidence: 99%

Doppler Vortography: A Color Doppler Approach to Quantification of Intraventricular Blood Flow Vortices

Mehregan

Tournoux

Muth

et al. 2014

Ultrasound in Medicine & Biology

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We propose a new approach to quantification of intracardiac vorticity based on conventional color Doppler images -Doppler vortography. Doppler vortography relies on the centrosymmetric properties of the vortices. Such properties induce particular symmetries in the Doppler flow data that can be exploited to describe the vortices quantitatively. For this purpose, a kernel filter was developed to derive a parameter, the blood vortex signature (BVS), that allows detection of the main intracardiac vortices and estimation of their core vorticities. The reliability of Doppler vortography was assessed in mock Doppler fields issued from simulations and in vitro data. Doppler vortography was also tested in patients and compared with vector flow mapping by echocardiography. Strong correlations were obtained between Doppler vortography-derived and ground-truth vorticities (in silico: r2 = 0.98, in vitro: r2 = 0.86, in vivo: r2 = 0.89). Our results indicate that Doppler vortography is a potentially promising echocardiographic tool for quantification of vortex flow in the left ventricle.

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“…The Doppler fields were smoothed using an unsupervised smoothing and denoising method [127,128]. The BVS was calculated in all these velocity fields using equation .…”

Section: Goal and Objectivesmentioning

confidence: 99%

“…These values were chosen to be consistent with clinical observations ). The Doppler fields were de-aliased and smoothed using an unsupervised denoising method Muth et al 2011). For each Doppler field, the BVS was calculated from the simulated polar Doppler data using eqn (3), and the vortex core was located from the BVS extremum (Fig.…”

Section: Theoretical Concept Of Doppler Vortographymentioning

confidence: 99%

Unsupervised dealiasing and denoising of color-Doppler data

Cited by 37 publications

References 34 publications

Emerging Trends in CV Flow Visualization

Emerging Trends in CV Flow Visualization

Doppler Vortography: A Color Doppler Approach to Quantification of Intraventricular Blood Flow Vortices

Doppler vortography - Detection and quantification of the vortices in the left ventricle

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