Design and Development of a Mechanical Linear Scanning Device for the Three-Dimensional Ultrasound Imaging System

Karlita, Tita; Yuniarno, Eko Mulyanto; Purnama, I Ketut Eddy; Purnomo, Mauridhi Hery

doi:10.15676/ijeei.2019.11.2.4

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…In PWI, a frame passes through multiple steps before it is ready to be displayed [13]. These steps start with the beamforming operation that produces a two-dimensional array of values; each value resembles the beamforming result at a speci c focal point [14,15].…”

Section: Coherent and Incoherent Cpwimentioning

confidence: 99%

Performance Evaluation of Compound Plane-Wave Imaging Combined with the Generalized Coherence Factor

Alomari,

Abdulatef,

Al-Zubaidy

2023

ABE

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Compound plane-wave imaging (CPWI) is a widely used and investigated imaging technique in medical ultrasound because it provides high quality ultrafast imaging for recent applications such as elastography. CPWI can be either coherent to provide high resolution and reduce sidelobe, or incoherent to provide high speckle homogeneity. To further improve imaging quality, coherence-based factors are used for weighting the output of ultrasound beamformers. This work studied the effects of the number of compounded frames and the step between these frames on the imaging quality produced by coherent and incoherent CPWI in the presence of the generalized coherence factor (GCF). The quality of the produced images of two different RF datasets was assessed in two different scenarios, in addition to conducting cyst phantom simulations. Results showed that the amount of image contrast improved by GCF increased, while the amount of resolution improved by GCF decreased, with the increase in step between frames. The same results were obtained in both types of CPWI. On the other hand, increasing the number of frames had almost no effect on the amounts of improvement provided by GCF. When CPWI is used in ultrafast imaging, it is important to monitor frame rates as well as imaging quality; these two factors are, respectively, inversely and directly proportional to the number of compounding frames. Therefore, the results of this research provide guidelines for accurate angle selection for CPWI so that a trade-off between imaging quality and frame rate is achieved.

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Section: Coherent and Incoherent Cpwimentioning

confidence: 99%

Performance Evaluation of Compound Plane-Wave Imaging Combined with the Generalized Coherence Factor

Alomari,

Abdulatef,

Al-Zubaidy

2023

ABE

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“…translation and rotation, with translational displacement of the x-axis, y-axis, and z-axis in a coordinate system. (1) Figure. 15 Flowchart of prototype (1) Figure. 16 Flowchart of prototype (2) Matrix rotations with respect to the x-axis, y-axis, and z-axis, are shown in matrix: [17]. Rotation matrix with respect to the X-axis:…”

Section: How To Measure the Length Height And Width Of The Sedimentmentioning

confidence: 99%

Hybrid FLC-LMS Algorithm for Predicting Sediment Volume in the River

Prasetyowati¹

2021

IJIES

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Problems such as flooding, various diseases from microbial pathogens, rivers becoming slum and unsightly, reduced availability: The data found that 82% of the 550 rivers in Indonesia were polluted and in critical condition. The high level of pollution caused various of clean water and many more. Sediment was one of the causes of that problem. There have been many studies detecting objects in the water, but no one predicted the volume of objects in the water. The purpose of this research is to make a device to detect the volume of sediment in the rivers to improve the performance of river monitoring. A device was equipped with an infrared sensor. Raising and lowering the sensor under the device was controlled by the front DC motor with a Fuzzy Logic Controller (FLC) algorithm using two input and one output. Error (E) and change of error (CE) were inputs for FLC and change of control was the output. The fuzzy membership function depended on the distance of the sensor to the sediment. The number of membership functions used was less than the previous research, so the calculation was much simple. This research used hybrid FLC and Adaptive LMS predictive algorithm. Fuzzy Logic Controller was for controlling the Front DC motor when raising and lowering the sensor and Adaptive LMS predictive algorithm was for predicting the volume and minimalizing the error calculation. PID control was also used as a comparison. The results showed that using the FLC algorithm can find sediment in less than four seconds with an error rate of 0.0005, while the PID sensor found sediment in more than 4 seconds with an error rate of 0.001. In addition, the Adaptive LMS predictive algorithm minimized the error calculation with an accuracy level of 99.66 percent.

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Design and Development of a Mechanical Linear Scanning Device for the Three-Dimensional Ultrasound Imaging System

Cited by 2 publications

References 25 publications

Performance Evaluation of Compound Plane-Wave Imaging Combined with the Generalized Coherence Factor

Performance Evaluation of Compound Plane-Wave Imaging Combined with the Generalized Coherence Factor

Hybrid FLC-LMS Algorithm for Predicting Sediment Volume in the River

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