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Detection of specific areas and densities for ultrasound tomography. / Erofeeva, Victoria; Galyamina, Vasilisa; Gonta, Kseniya; Leonova, Anna; Granichin, Oleg; Pankov, Vikentiy; Trofimov, Stepan; Tursunova, Munira; Ding, Mingyue; Yuchi, Ming; Fang, Xiaoyue.

в: Cybernetics and Physics, Том 8, № 3, 01.01.2019, стр. 121-127.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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Author

Erofeeva, Victoria ; Galyamina, Vasilisa ; Gonta, Kseniya ; Leonova, Anna ; Granichin, Oleg ; Pankov, Vikentiy ; Trofimov, Stepan ; Tursunova, Munira ; Ding, Mingyue ; Yuchi, Ming ; Fang, Xiaoyue. / Detection of specific areas and densities for ultrasound tomography. в: Cybernetics and Physics. 2019 ; Том 8, № 3. стр. 121-127.

BibTeX

@article{9529e20560284ce882a1141f35a2d746,
title = "Detection of specific areas and densities for ultrasound tomography",
abstract = "In this paper we consider the problem of ultrasound tomography. Recently, an increased interest in ultrasound tomography has been caused by non-invasiveness of the method and increased detection accuracy (as compared to radiation tomography), and also ultrasound tomography does not put at risk human health. We study possibilities of detection of specific areas and determining their density using ultrasound tomography data. The process of image reconstruction based on ultrasound data is computationally complex and time consuming. It contains the following parts: Calculation of the time-of-flight (TOF) of a signal, detection of specific areas, calculation of density of specific areas. The calculation of the arrival time of a signal is a very important part, because the errors in the calculation of quantities strongly influence the total problem solution. We offer ultrasound imaging reconstruction technology that can be easily parallelized. The whole process is described: From extracting the arrival times of signals raw data feeding from physical receivers to obtaining the desired results.",
keywords = "Optimization, Reconstruction, Signal processing, Ultrasound tomography",
author = "Victoria Erofeeva and Vasilisa Galyamina and Kseniya Gonta and Anna Leonova and Oleg Granichin and Vikentiy Pankov and Stepan Trofimov and Munira Tursunova and Mingyue Ding and Ming Yuchi and Xiaoyue Fang",
year = "2019",
month = jan,
day = "1",
doi = "10.35470/2226-4116-2019-8-3-121-127",
language = "English",
volume = "8",
pages = "121--127",
journal = "Cybernetics and Physics",
issn = "2223-7038",
publisher = "IPACS",
number = "3",

}

RIS

TY - JOUR

T1 - Detection of specific areas and densities for ultrasound tomography

AU - Erofeeva, Victoria

AU - Galyamina, Vasilisa

AU - Gonta, Kseniya

AU - Leonova, Anna

AU - Granichin, Oleg

AU - Pankov, Vikentiy

AU - Trofimov, Stepan

AU - Tursunova, Munira

AU - Ding, Mingyue

AU - Yuchi, Ming

AU - Fang, Xiaoyue

PY - 2019/1/1

Y1 - 2019/1/1

N2 - In this paper we consider the problem of ultrasound tomography. Recently, an increased interest in ultrasound tomography has been caused by non-invasiveness of the method and increased detection accuracy (as compared to radiation tomography), and also ultrasound tomography does not put at risk human health. We study possibilities of detection of specific areas and determining their density using ultrasound tomography data. The process of image reconstruction based on ultrasound data is computationally complex and time consuming. It contains the following parts: Calculation of the time-of-flight (TOF) of a signal, detection of specific areas, calculation of density of specific areas. The calculation of the arrival time of a signal is a very important part, because the errors in the calculation of quantities strongly influence the total problem solution. We offer ultrasound imaging reconstruction technology that can be easily parallelized. The whole process is described: From extracting the arrival times of signals raw data feeding from physical receivers to obtaining the desired results.

AB - In this paper we consider the problem of ultrasound tomography. Recently, an increased interest in ultrasound tomography has been caused by non-invasiveness of the method and increased detection accuracy (as compared to radiation tomography), and also ultrasound tomography does not put at risk human health. We study possibilities of detection of specific areas and determining their density using ultrasound tomography data. The process of image reconstruction based on ultrasound data is computationally complex and time consuming. It contains the following parts: Calculation of the time-of-flight (TOF) of a signal, detection of specific areas, calculation of density of specific areas. The calculation of the arrival time of a signal is a very important part, because the errors in the calculation of quantities strongly influence the total problem solution. We offer ultrasound imaging reconstruction technology that can be easily parallelized. The whole process is described: From extracting the arrival times of signals raw data feeding from physical receivers to obtaining the desired results.

KW - Optimization

KW - Reconstruction

KW - Signal processing

KW - Ultrasound tomography

UR - http://www.scopus.com/inward/record.url?scp=85076234974&partnerID=8YFLogxK

U2 - 10.35470/2226-4116-2019-8-3-121-127

DO - 10.35470/2226-4116-2019-8-3-121-127

M3 - Article

AN - SCOPUS:85076234974

VL - 8

SP - 121

EP - 127

JO - Cybernetics and Physics

JF - Cybernetics and Physics

SN - 2223-7038

IS - 3

ER -

ID: 49818624