Effects of Beamforming Techniques on Quality of Ultrasound Computed Tomography Images.

Beamforming Fan Beam Back Projection Image Quality Enhancement Image Reconstruction Signal-To-Noise Ratio Tomography Ultrasonography Ultrasound Computed Tomography Ultrasound Imaging

Journal

Journal of biomedical physics & engineering
ISSN: 2251-7200
Titre abrégé: J Biomed Phys Eng
Pays: Iran
ID NLM: 101589641

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 17 07 2021
accepted: 20 10 2021
entrez: 5 9 2022
pubmed: 6 9 2022
medline: 6 9 2022
Statut: epublish

Résumé

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. This study aimed to improve UCT image quality without increasing breast cancer screening and diagnosis time. 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. 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. The beamforming technique using three simultaneous transmitters improved the resolution by about 1 mm compared to the normal strategy. In addition to high-contrast images, beamforming with 9 simultaneous transmitters led to a preferable technique.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
This study aimed to improve UCT image quality without increasing breast cancer screening and diagnosis time.
Material and Methods UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
The beamforming technique using three simultaneous transmitters improved the resolution by about 1 mm compared to the normal strategy. In addition to high-contrast images, beamforming with 9 simultaneous transmitters led to a preferable technique.

Identifiants

pubmed: 36059289
doi: 10.31661/jbpe.v0i0.2107-1367
pii: JBPE-12-4
pmc: PMC9395622
doi:

Types de publication

Journal Article

Langues

eng

Pagination

349-358

Informations de copyright

Copyright: © Journal of Biomedical Physics and Engineering.

Déclaration de conflit d'intérêts

None

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Auteurs

Razieh Solgi (R)

MSc, Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
MSc, Preclinical Lab, Core Facility, Tehran University of Medical Sciences, Tehran, Iran.

Hossein Ghadiri (H)

PhD, Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
PhD, Advanced Medical Technologies and Equipment Institute, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran.

Classifications MeSH