Analysis of arterial wall motion for measurement of regional pulse wave velocity

Hasegawa, Hideyuki

doi:10.7567/jjap.57.07lf01

Cited by 19 publications

(15 citation statements)

References 55 publications

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“…Previous studies have demonstrated the feasibility of ultrasound in detection of erythrocyte aggregation using frequency spectral analysis. [3][4][5] Ultrafast ultrasound imaging has been applied to characterization of vascular systems such as the pulse wave velocity, [6][7][8] wall shear stress, [9][10][11] and strain. [12][13][14] Our previous study also evaluated blood flow dynamics in the numerical simulation and in vivo measurement using a block matching method under plane wave transmission at a single angle 15,16) and autocorrelation algorithm with the repeated transmission sequence for multi-angle plane wave imaging.…”

Section: Introductionmentioning

confidence: 99%

Characterization of blood mimicking fluid with ultrafast ultrasonic and optical image velocimeters

Omura

Nagaoka

Yagi

et al. 2022

Jpn. J. Appl. Phys.

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A blood mimicking fluid (BMF) is imperative for the evaluation of Doppler ultrasound. Doppler ultrasound still causes errors due to some artifacts such as aliasing and presence of grating lobes. One of the other velocimeters is the optical particle image velocimeter (PIV). This study initially developed an in vitro measurement system for analyzing flowing BMF with ultrasonic and optical PIVs. The acoustic properties such as speed of sound, attenuation, and backscatter coefficient of BMF equivalent to the human blood, used for both ultrasonic and optical PIVs were analyzed in a frequency range of 4-12 MHz. The velocity profiles were estimated by ultrasonic and optical PIVs using a block matching method. A difference between velocities obtained by ultrasonic and optical data was within 4.0% using BMF with 20 µm polyamide particle at 0.2% concentration that realized the acoustic properties and speckle patterns similar to those in ultrafast ultrasound blood flow imaging.

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Section: Introductionmentioning

confidence: 99%

Characterization of blood mimicking fluid with ultrafast ultrasonic and optical image velocimeters

Omura

Nagaoka

Yagi

et al. 2022

Jpn. J. Appl. Phys.

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“…It uses a probe of SL10‐2 and a frequency of 2–10 MHz. It can scan local carotid arteries at a high frame rate of 10 000 frames/s, and with a built‐in color Doppler technology, it can track the motion of the anterior wall of the common carotid arteries in real‐time 9,10 . However, it remains unclear whether or not carotid ultrafast PWV evaluation can reflect the changes due to microangiopathy in patients with T2DM.…”

Section: Introductionmentioning

confidence: 99%

Clinical significance and influencing factors of carotid pulse wave velocity in patients with diabetic microangiopathy

Shu

et al. 2022

J of Clinical Ultrasound

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Purpose To evaluate the utility of carotid ultrafast pulse wave velocity (PWV) and explore its influencing factors in patients with type 2 diabetes mellitus (T2DM) microangiopathy. Methods Seventy‐seven patients with T2DM were divided into two groups according to the absence (Group A, n = 45) or presence (Group B, n = 32) of microangiopathy. The control group comprised 1544 healthy volunteers. Two‐dimensional ultrasonography was used to measure intima‐media thickness (IMT) of the carotid arteries, and ultrafast ultrasound imaging was used to measure PWV of the carotid arteries at the beginning of systole (PWV‐BS) and the end of systole (PWV‐ES). Results The IMT, PWV‐BS, and PWV‐ES were higher in the T2DM group than in the control group, and the values in T2DM Group B were higher than those in Group A. IMT was positively correlated with PWV‐BS and PWV‐ES. Age and uric acid were influencing factors of PWV‐ES, while age, uric acid, body mass index, glycated hemoglobin, and urine albumin/creatinine ratio were influencing factors of PWV‐BS. PWV‐ES was a more sensitive predictor than PWV‐BS, and a PWV‐ES critical value predicted carotid elasticity in patients with T2DM microangiopathy. Conclusion Ultrafast PWV can reflect early atherosclerosis and provide a noninvasive assessment of microangiopathy in patients with T2DM.

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“…Since the ultrasound imaging technique is non-invasive, low cost and save time, some take the advantage of the doppler technique to measure the blood flow velocity in heart [5]- [7]. Conventional method that applied doppler technique did provide the imaging blood flow either employing continuous wave, pulse wave or color wave [8]. However, the image acquisition is mostly operator dependent, which could be argued on lack of reproducibility results.…”

Section: Introductionmentioning

confidence: 99%

Validation test on 3d heart phantom for mitral valve leaflet tracking

Mahadi

Ibrahim

Shanta

et al. 2021

IJEECS

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<span style="font-family: 'Times New Roman',serif; font-size: 9pt; mso-bidi-font-size: 11.0pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US"><span style="font-family: 'Times New Roman',serif; font-size: 9pt; mso-bidi-font-size: 11.0pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">Mitral valve movement is essential to be identified in order to monitor the abnormality of blood flow in right side of heart. The estimation and tracking of mitral valve has seldom been investigated since it required high temporal rate to scan the echocardiography images and it depends on the operator to capture the low-speckle and-noise images. This study presents the validation experiment performed on heart phantom made of t<span style="font-family: 'Times New Roman',serif; font-size: 9pt; mso-bidi-font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">hermoplastic polyurethane (TPU) filament which the objective is to validate the previous <span style="font-family: 'Times New Roman',serif; font-size: 9pt; mso-bidi-font-size: 11.0pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">features tracking technique implemented in mitral valve locating in video frames using Kanade-Lucas-Tomasi (KLT) algorithm. The outcome was able to automatically detect the edge of mitral valve and thus in future, it manages to predict the flowing of blood pattern. An in-vitro experiment was conducted which involved a valve phantom scanning in water tank that connected to water pump. It was found in this study that the technique capable to detect and visualize the mitral valve up to 59 frames in 2.36 secondsby tracking the features of minimum eigenvalue within the selected region. It was also produced a good agreement of valve distance between the true value and the measured one, which achieved the minimum of 88% similarity. This yielded the validation of the proposed technique to track and visualize the mitral valves.

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Analysis of arterial wall motion for measurement of regional pulse wave velocity

Cited by 19 publications

References 55 publications

Characterization of blood mimicking fluid with ultrafast ultrasonic and optical image velocimeters

Characterization of blood mimicking fluid with ultrafast ultrasonic and optical image velocimeters

Clinical significance and influencing factors of carotid pulse wave velocity in patients with diabetic microangiopathy

Validation test on 3d heart phantom for mitral valve leaflet tracking

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