Evaluation of the Reconfiguration of the Data Acquisition System for 3D USCT

Birk, Matthias; Hagner, Clemens; Balzer, M.; Ruiter, Nicole V.; Hübner, Michael; Becker, J.

doi:10.1155/2011/952937

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…The auto-reconfiguration is the capacity of a system to reconfigure itself during runtime and without external influence. In such design, a System on Chip (SoC) is implemented in a reconfigurable FPGA, and it includes a controller used to communicate, reconfigure the partial reconfigurable region (Interface Configuration Access Port-ICAP) and manage the resulting data [7][8][9][10][11][12][13][14]. Therefore, partial-reconfiguration technology allows a node (RSN) to be auto-reconfigurable.…”

Section: Auto-reconfiguration Self-organized Wireless Sensors Networkmentioning

confidence: 99%

Wireless Network for Self-Reconfigurable Hardware Nodes

Heil¹,

Tanougast²,

Cheng³

et al. 2013

Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)

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International Conference on Computer, Networks and Communication Engineering (ICCNCE), Beijing, PEOPLES R CHINA, MAY 23-24, 2013International audienceIn this paper, a model is proposed to perform the Self-Organized Systems (RSS) by using the reconfigurable hardware architectures in a Wireless Sensor Network (WSN) environment. The evaluation performance provide information on the utilization of auto-reconfigurable architecture in WSN using the ZigBee Protocol. The proposed system is designed to study at each level, parameters that influence performance. Thereby, the evaluation platform is described in order to provide data on expected performance and finally the timing analysis shows the limitation in terms of networked computation

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Section: Auto-reconfiguration Self-organized Wireless Sensors Networkmentioning

confidence: 99%

Wireless Network for Self-Reconfigurable Hardware Nodes

Heil¹,

Tanougast²,

Cheng³

et al. 2013

Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)

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“…The 3D USCT system, which acquires comprehensive breast volume data for reconstruction purposes, necessitates a substantial number of small-sized sensors to achieve the necessary resolution [23], posing a technological challenge in current circumstances. The computational complexity of the 3D USCT system exceeds that of its 2D counterpart, requiring more advanced algorithms for three-dimensional reconstruction [24]. Due to the extensive volume of collected data, there are persistent bottlenecks, such as inadequate memory capacity and sluggish data retrieval speed, which impede the precision of imaging data [25].…”

Section: Introductionmentioning

confidence: 99%

A High-Resolution 3D Ultrasound Imaging System Oriented towards a Specific Application in Breast Cancer Detection Based on a 1 × 256 Ring Array

Zhang,

Wu,

Meng

et al. 2024

Micromachines

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This paper presents the design and development of a high-resolution 3D ultrasound imaging system based on a 1 × 256 piezoelectric ring array, achieving an accuracy of 0.1 mm in both ascending and descending modes. The system achieves an imaging spatial resolution of approximately 0.78 mm. A 256 × 32 cylindrical sensor array and a digital phantom of breast tissue were constructed using the k-Wave toolbox. The signal is acquired layer by layer using 3D acoustic time-domain simulation, resulting in the collection of data from each of the 32 layers. The 1 × 256 ring array moves on a vertical trajectory from the chest wall to the nipple at a constant speed. A data set was collected at intervals of 1.5 mm, resulting in a total of 32 data sets. Surface rendering and volume rendering algorithms were used to reconstruct 3D ultrasound images from the volume data obtained via simulation so that the smallest simulated reconstructed lesion had a diameter of 0.3 mm. The reconstructed three-dimensional image derived from the experimental data exhibits the contour of the breast model along with its internal mass. Reconstructable dimensions can be achieved up to approximately 0.78 mm. The feasibility of applying the system to 3D breast ultrasound imaging has been demonstrated, demonstrating its attributes of resolution, precision, and exceptional efficiency.

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“…The ultrasound technique is more sensitive to dense tissue than X-ray mammography and detects more and smaller cancers in dense-breast women [1,2]. Therefore, many studies have been conducted on automated whole-breast ultrasound scanning systems using the ultrasound computed tomography (UCT) technique [3][4][5][6][7][8]. UCT can provide quantitative images of acoustical parameters, such as speed of sound (SOS), attenuation, and density from measurements of pressure fields [9].…”

mentioning

confidence: 99%

Effects of Beamforming Techniques on Quality of Ultrasound Computed Tomography Images

Solgi

2022

J Biomed Phys Eng

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Background: In body tissues, tumors generally have different speeds of sound (SOS) than normal tissues. In this respect, ultrasound computed tomography (UCT) can generate a cross-sectional SOS map as an innovative ultrasound imaging method. This technique can produce images with a resolution of millimeters and a high signal-to-noise ratio.Objective: This study aimed to improve UCT image quality without increasing breast cancer screening and diagnosis time. Material and Methods:In this analytical study, a ring-shaped UCT breast imaging system was simulated using the K-wave toolbox of MATLAB. The system has a 20 cm diameter and 256 ultrasonic piezoelectrics placed in the ring's circumference. Different beamforming techniques imaged two designed phantoms (i.e., resolution and contrast), and the resolution and contrast to noise ratio (CNR) were calculated. Results:The results of resolution phantom imaging without any beamforming showed that only bars with the value of 0.125 and 0.167 lp/mm were distinguishable, and the 0.1 bars were not recognizable in the imaging. In addition, increasing the number of transmitters led to no noticeable change in resolution for 0.125 and 0.167 lp/mm bars. In all beamforming techniques for imaging the contrast phantom, the CNR parameter up to an object with a diameter of 8 mm increases with increasing diameter without any change. Conclusion:The beamforming technique using three simultaneous transmitters improved the resolution by about 1 mm compared to the normal strategy. In addition to highcontrast images, beamforming with 9 simultaneous transmitters led to a preferable technique.

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Evaluation of the Reconfiguration of the Data Acquisition System for 3D USCT

Cited by 7 publications

References 21 publications

Wireless Network for Self-Reconfigurable Hardware Nodes

Wireless Network for Self-Reconfigurable Hardware Nodes

A High-Resolution 3D Ultrasound Imaging System Oriented towards a Specific Application in Breast Cancer Detection Based on a 1 × 256 Ring Array

Effects of Beamforming Techniques on Quality of Ultrasound Computed Tomography Images

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