Blood Flow Patterns in The Left Ventricle by Echodynamography Method

Oktamuliani, Sri; Hasegawa, Kaoru; Saijo, Yoshifumi

doi:10.1109/icot.2018.8705826

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…The blood velocity is calculated using the Doppler principle, which involves measuring the speed of ultrasonic waves in two situations: when they encounter moving blood cells and when the echo is reflected by the moving blood cells. According to Oktamuliani et al (2018a), the blood flow rate of a healthy heart is approximately 40 cm/s. Without constriction or blood resistance within blood vessels, blood flows normally (Harun et al, 2016).…”

Section: Determination Of Vectors and Velocity Of Blood Flowmentioning

confidence: 99%

“…Despite its diagnostic prowess, ECD's performance is impeded by signal ambiguity due to the reflective nature of ultrasonic waves, which can generate misleading high-intensity data known as aliasing (Oktamuliani et al, 2018a). Aliasing distorts the velocity information of blood flow, presenting a significant challenge to achieving accurate diagnostics.…”

Section: Introductionmentioning

confidence: 99%

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Digital Image Processing for Determining the Speed of Blood Flow in the Heart Based on the Doppler Effect

et al. 2023

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A research study was conducted to estimate and visualize 2D vectors of blood flow in the heart using image processing algorithms to determine Doppler velocity at each point. The study used secondary data from ten patients who provided informed consent, encompassing healthy and unhealthy hearts. ECD image data were collected using a Philips epiq 7C machine in DICOM format. The image processing tasks, including area segmentation, flow velocity analysis, and area smoothing, were carried out using MATLAB R2016b software. These processes aimed to eliminate noise and other disturbances, enhancing the accuracy of blood flow velocity estimation in the heart. The study's findings included estimations and 2D vector visualizations representing the average blood flow velocity at each point within the heart. These achievements were made possible using image processing techniques to correct the acquired images, ensuring precise measurement of blood flow speed. Among the collected data, one patient exhibited indications of a healthy heart, with an average blood flow velocity of 40.2513 cm/s, a maximum speed of 68.5807 cm/s, and a minimum speed of 33.6971 cm/s. Deviations from the normal range of blood flow speeds were considered as potential abnormalities in heart health.

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Section: Determination Of Vectors and Velocity Of Blood Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Digital Image Processing for Determining the Speed of Blood Flow in the Heart Based on the Doppler Effect

et al. 2023

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“…To date, various 2D flow velocity estimation methods such as speckle tracking, [11][12][13] vector flow mapping (VFM), 14,15) echo-dynamography (EDG), [16][17][18] and two-angle vector Doppler measurements have been reported to visualize the flow dynamics in the heart's chambers. 19) The speckle tracking method was computationally expensive and degraded by the out-of-plane motion, and the VFM and EDG methods utilized assumptions about the fluid dynamics that were sometimes affected by noise components in CDI.…”

Section: Introductionmentioning

confidence: 99%

Robust flow vector estimation for echocardiography with extended Nyquist velocity using dual-PRF approach: a flow phantom study

Okada

Kanno

Bhatti

et al. 2023

Jpn. J. Appl. Phys.

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To enable quantitative assessments of multi-directional blood flow dynamics such as those in the heart, a two-dimensional (2D) flow vector estimation method using dual-angle Doppler measurements with a sector ultrasound probe was developed. However, that technique was prone to aliasing artifacts because the dual-angle transmissions reduced the pulse repetition frequency (PRF) and Nyquist flow speed by half for each Doppler measurement. To overcome this problem, this study devised a new dual-angle vector flow imaging framework with extended Nyquist velocity using the dual-PRF de-aliasing method. In the proposed framework, the Nyquist flow speed was doubled to 930 mm/s compared with the conventional dual-angle approach. Imaging experiments demonstrated that the proposed framework could correct the aliasing artifacts in color Doppler frames and successfully derive 2D flow vectors comparable to PIV measurements with a relative error of -14.5% in the fast and 35.2% in the slow flow phases in a pulsatile flow condition.

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Blood Flow Patterns in The Left Ventricle by Echodynamography Method

Cited by 2 publications

References 7 publications

Digital Image Processing for Determining the Speed of Blood Flow in the Heart Based on the Doppler Effect

Digital Image Processing for Determining the Speed of Blood Flow in the Heart Based on the Doppler Effect

Robust flow vector estimation for echocardiography with extended Nyquist velocity using dual-PRF approach: a flow phantom study

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