Measurement of regional pulse wave velocity using very high frame rate ultrasound

Hasegawa, Hideyuki; Hongo, Kazue; Kanai, Hiroshi

doi:10.3179/jjmu.jjmu.k.8

Cited by 4 publications

(10 citation statements)

References 34 publications

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“…axial window size (mm) (K) lateral window size (mm) (M) ±0.5 (5) ±1.0 (10) ±1.5 (15) ±2.0 (20) ±2.5 (25) ±0.1232 ( Table 9. Bias errors e bias and standard deviations σ of lateral and axial displacements at the same points shown in Figure 4a estimated by the conventional 2D motion estimator with frame averaging.…”

Section: Bias Errors and Standard Deviation Of Estimated Lateral Velomentioning

confidence: 99%

“…axial window size (mm) (K) lateral window size (mm) (M) ±0.5 (5) ±1.0 (10) ±1.5 (15) ±2.0 (20) ±2.5 (25) ±0.1232 ( …”

Section: Bias Errors and Standard Deviation Of Estimated Lateral Velomentioning

confidence: 99%

“…axial window size (mm) (K) lateral window size (mm) (M) ±0.5 (5) ±1.0 (10) ±1.5 (15) ±2.0 (20) ±2.5 (25) ±0.1232 ( ±0.5 (5) ±1.0 (10) ±1.5 (15) ±2.0 (20) ±2.5 (25) ±0.1232 (5) -0.02 ± 0.10 -0.01 ± 0.10 -0.01 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 ±0.2464 (10) 0.00 ± 0.10 -0.01 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 ±0.3696 (15) 0.00 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 ±0.4928 (20) 0.00 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 0.00 ± 0.10 Table 10. Bias errors e bias and standard deviations σ of lateral and axial displacements at the same points shown in Figure 4a estimated by the proposed 2D motion estimator with frame averaging.…”

Section: Bias Errors and Standard Deviation Of Estimated Lateral Velomentioning

confidence: 99%

“…In the proposed methods, the estimated mean frequenciesω x andω z were used as ω x and ω z , respectively, in Equations (10) and (15) to obtain the lateral and axial velocity estimatesv x andv z .…”

Section: Estimation Of Mean Frequencymentioning

confidence: 99%

“…After the development of shear wave elastography by Tanter, et al [11], which was the first practical application of high-frame-rate ultrasound, various studies have been conducted for cardiovascular applications, such as vascular strain and blood flow imaging [12][13][14], pulse wave imaging [15,16], and cardiac strain and blood flow imaging [17][18][19][20][21]. In addition, various studies for improvement of the image quality in high-frame-rate ultrasound have been conducted [22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

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Phase-Sensitive 2D Motion Estimators Using Frequency Spectra of Ultrasonic Echoes

Hasegawa

2016

Applied Sciences

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Abstract:Recently, high-frame-rate ultrasound has been extensively studied for measurement of tissue dynamics, such as pulsations of the carotid artery and heart. Motion estimators are very important for such measurements of tissue dynamics. In high-frame-rate ultrasound, the tissue displacement between frames becomes very small owing to the high temporal resolution. Under such conditions, the speckle tracking method requires high levels of interpolation to estimate such a small displacement. A phase-sensitive motion estimator is feasible because it does not suffer from the aliasing effect by such a small displacement and does not require interpolation to estimate a sub-sample displacement. In the present study, two phase-sensitive 2D motion estimators, namely, paired 1D motion estimators and 2D motion estimator with shifted cross spectra, were developed. Phase-sensitive motion estimators using frequency spectra of ultrasonic echoes have already been proposed in previous studies. However, such methods had not taken into account the ambiguity of the frequency of each component of the spectrum. We have proposed a method, which estimates the mean frequency of each component of the spectrum, and the proposed method was validated by a phantom experiment. The experimental results showed that the bias errors in the estimated motion velocities of the phantom were less than or equal to (11.5% in lateral, 2.0% in axial) by the proposed 1D paired motion estimators and (3.0%, 2.0%) by the proposed 2D motion estimators, both of which were significantly smaller than (14.0%, 3.0%) of the conventional phase-sensitive 2D motion estimator.

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Section: Bias Errors and Standard Deviation Of Estimated Lateral Velomentioning

confidence: 99%

“…axial window size (mm) (K) lateral window size (mm) (M) ±0.5 (5) ±1.0 (10) ±1.5 (15) ±2.0 (20) ±2.5 (25) ±0.1232 ( …”

Section: Bias Errors and Standard Deviation Of Estimated Lateral Velomentioning

confidence: 99%

Section: Bias Errors and Standard Deviation Of Estimated Lateral Velomentioning

confidence: 99%

Section: Estimation Of Mean Frequencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Phase-Sensitive 2D Motion Estimators Using Frequency Spectra of Ultrasonic Echoes

Hasegawa

2016

Applied Sciences

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Performance assessment of pulse wave imaging using conventional ultrasound in canine aortas ex vivo and normal human arteries in vivo

Qaqish

Konofagou

2015

ARTRES

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The propagation behavior of the arterial pulse wave may provide valuable diagnostic information for cardiovascular pathology. Pulse Wave Imaging (PWI) is a noninvasive, ultrasound imaging-based technique capable of mapping multiple wall motion waveforms along a short arterial segment over a single cardiac cycle, allowing for the regional pulse wave velocity (PWV) and propagation uniformity to be evaluated. The purpose of this study was to improve the clinical utility of PWI using a conventional ultrasound system. The tradeoff between PWI spatial and temporal resolution was evaluated using an ex vivo canine aorta (n = 2) setup to assess the effects of varying image acquisition and signal processing parameters on the measurement of the PWV and the pulse wave propagation uniformity r2. PWI was also performed on the carotid arteries and abdominal aortas of 10 healthy volunteers (24.8 ± 3.3 y.o.) to determine the waveform tracking feature that would yield the most precise PWV measurements and highest r2 values in vivo. The ex vivo results indicated that the highest precision for measuring PWVs ~ 2.5 – 3.5 m/s was achieved using 24–48 scan lines within a 38 mm image plane width (i.e. 0.63 – 1.26 lines/mm). The in vivo results indicated that tracking the 50% upstroke of the waveform would consistently yield the most precise PWV measurements and minimize the error in the propagation uniformity measurement. Such findings may help establish the optimal image acquisition and signal processing parameters that may improve the reliability of PWI as a clinical measurement tool.

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High-Definition Imaging of Carotid Artery Wall Dynamics

Kruizinga

Mastik

Oord

et al. 2014

Ultrasound in Medicine & Biology

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The carotid artery (CA) is central to cardiovascular research, because of the clinical relevance of CA plaques as culprits of stroke and the accessibility of the CA for cardiovascular screening. The viscoelastic state of this artery, essential for clinical evaluation, can be assessed by observing arterial deformation in response to the pressure changes throughout the cardiac cycle. Ultrasound imaging has proven to be an excellent tool to monitor these dynamic deformation processes. We describe how a new technique called high-frame-rate ultrasound imaging captures the tissue deformation dynamics throughout the cardiac cycle in unprecedented detail. Local tissue motion exhibits distinct features of sub-micrometer displacements on a sub-millisecond time scale. We present a high-definition motion analysis technique based on plane wave ultrasound imaging able to capture these features. We validated this method by screening a group of healthy volunteers and compared the results with those for two patients known to have atherosclerosis to illustrate the potential utility of this technique.

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Measurement of regional pulse wave velocity using very high frame rate ultrasound

Cited by 4 publications

References 34 publications

Phase-Sensitive 2D Motion Estimators Using Frequency Spectra of Ultrasonic Echoes

Phase-Sensitive 2D Motion Estimators Using Frequency Spectra of Ultrasonic Echoes

Performance assessment of pulse wave imaging using conventional ultrasound in canine aortas ex vivo and normal human arteries in vivo

High-Definition Imaging of Carotid Artery Wall Dynamics

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