Non-invasive Vascular Radial/Circumferential Strain Imaging and Wall Shear Rate Estimation Using Video Images of Diagnostic Ultrasound

Wan, Jiashuang; He, Fenghua; Zhao, Yongfeng; Zhang, Hongmei; Zhou, Xiaodong; Wan, Mingxi

doi:10.1016/j.ultrasmedbio.2013.10.007

Cited by 17 publications

(12 citation statements)

References 48 publications

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“…It is extremely important to accurately estimate hemodynamic parameters for cardiovascular disease diagnosis, such as atheroma, plaque and thrombus [1][2][3]. Development of aforementioned diseases has a close relationship with arterial flow vector distribution (FVD), particularly in arterial stenosis [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…Development of aforementioned diseases has a close relationship with arterial flow vector distribution (FVD), particularly in arterial stenosis [2,4]. Moreover, lots of hemodynamic parameters including local shear stress and wall shear rate in arteries calculated from FVD may affect the progress of many cardiovascular diseases, such as plaque growth and rupture [1,3]. Thus, accurate estimation of FVD in arterial stenosis, as an important additional tool, has clinical significance in the treatment and prevention of many cardiovascular diseases [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…The FVD estimation via time-domain correlation or Doppler signals has been widely applied [1]. However, conventional Doppler is always limited by the angulation error and detects only the velocity component along the acoustic beam [2], even if its performance is improved by the parallel alignment or transverse Doppler techniques [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…However, conventional Doppler is always limited by the angulation error and detects only the velocity component along the acoustic beam [2], even if its performance is improved by the parallel alignment or transverse Doppler techniques [1,2]. Meanwhile, displacement estimation between ultrasound images is always disturbed by image itself, such as speckle decorrelation and low signal-to-noise ratio [5].…”

Section: Introductionmentioning

confidence: 99%

“…As an extensively employed motion estimation method based on ultrasound images [7], optical flow equations have been developed to measure small displacements around the artery wall and obtain the multiple velocity vectors in carotid arteries [1,8]. However, discontinuous microbubble flow in the imaging plane is difficult to be accurately tracked by conventional optical flow method because of the disordered and rapid motions of microbubbles.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Contrast-based transient flow vector distribution in arterial stenosis based on plane wave bubble wavelet imaging and modified optical flow method

Wang

Jing

Wan

et al. 2015

2015 IEEE International Ultrasonics Symposium (IUS)

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The objective of this study was to accurately obtain the transient flow vector distribution (FVD) of microbubbles in arterial stenosis by modified optical flow method based on ultrasound contrast plane wave imaging (UCPI). First, a bolus injection experiment was performed in an arterial stenosis flow phantom using inverted plane waves at 400Hz frame rate controlled by Sonix-Touch. The contrast-to-tissue ratio (CTR) of UCPI images and detection sensitivity of microbubbles was then improved by pulse inversion bubble wavelet imaging (PIWI) technique based on a pair of inverted bubble wavelet constructed according to the modified Herring equation. Next, transient displacement and FVD of microbubbles among a set of UCPI images with high CTR and sensitivity were obtained by a modified optical flow method, which added a discontinuity preserving spatio-temporal smoothness constraint, to accurately mark and evaluate the hemodynamic feature in the stenosis. Finally, FVD of microbubbles in the arterial stenosis was depicted clearly by PIWI-based UCPI. Compared to those obtained using pulse inversion harmonic imaging, CTR of UCPI in the stenosis and detection sensitivity of microbubbles near arterial wall were improved by up to 10.09 ± 2.96 dB and 12.52 ± 2.10 dB, respectively. Axial microbubble velocity in the stenosis was 28.45 ± 3.05 mm/s; it was in accordance with the set value. Moreover, compared with results obtained by the conventional optical flow method, an anticlockwise vortex of microbubbles in the distal was described more accurately by the transient FVD obtained using the modified optical flow method. It indicated that contrast-based transient FVD in the arterial stenosis can be acquired accurately by PIWI-based UCPI combined with modified optical flow method.Keywords-microbubble; transient flow vector distribution; plane wave imaging; bubble wavelet; optical flow method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Contrast-based transient flow vector distribution in arterial stenosis based on plane wave bubble wavelet imaging and modified optical flow method

Wang

Jing

Wan

et al. 2015

2015 IEEE International Ultrasonics Symposium (IUS)

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Current and Future Clinical Applications of Elasticity Imaging Techniques

Song

Chen

2018

Ultrasound Elastography for Biomedical Applications and Medicine

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Lagrangian carotid strain imaging indices normalized to blood pressure for vulnerable plaque

Varghese

Meshram

Mitchell

et al. 2019

J of Clinical Ultrasound

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Objective Ultrasound Lagrangian carotid strain imaging (LCSI) utilizes physiological deformation caused by arterial pressure variations to generate strain tensor maps of the vessel walls and plaques. LCSI has been criticized for the lack of normalization of magnitude‐based strain indices to physiological stimuli, namely blood pressure. We evaluated the impact of normalization of magnitude‐based strain indices to blood pressure measured immediately after the acquisition of radiofrequency (RF) data loops for LCSI. Materials and Methods A complete clinical ultrasound examination along with RF data loops for LCSI was performed on 50 patients (30 males and 20 females) who presented with >60% carotid stenosis and were scheduled for carotid endarterectomy. Cognition was assessed using the 60‐minute neuropsychological test protocol. Results For axial strains correlation of maximum accumulated strain indices (MASI), cognition scores were −0.46 for non‐normalized and −0.45, −0.49, −0.37, and −0.48 for systolic, diastolic, pulse pressure, and mean arterial pressure normalized data, respectively. The corresponding area under the curve (AUC) values for classifiers designed using maximum likelihood estimation of a binormal distribution with a median‐split of the executive function cognition scores were 0.73, 0.70, 0.71, 0.70, and 0.71, respectively. Conclusions No significant differences in the AUC estimates were obtained between normalized and non‐normalized magnitude‐based strain indices.

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Non-invasive Vascular Radial/Circumferential Strain Imaging and Wall Shear Rate Estimation Using Video Images of Diagnostic Ultrasound

Cited by 17 publications

References 48 publications

Contrast-based transient flow vector distribution in arterial stenosis based on plane wave bubble wavelet imaging and modified optical flow method

Contrast-based transient flow vector distribution in arterial stenosis based on plane wave bubble wavelet imaging and modified optical flow method

Current and Future Clinical Applications of Elasticity Imaging Techniques

Lagrangian carotid strain imaging indices normalized to blood pressure for vulnerable plaque

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