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Solgi, Razieh, Ghadiri, Hossein. (1401). Effects of Beamforming Techniques on Quality of Ultrasound Computed Tomography Images. سامانه مدیریت نشریات علمی, 12(4), 349-358. doi: 10.31661/jbpe.v0i0.2107-1367
Razieh Solgi; Hossein Ghadiri. "Effects of Beamforming Techniques on Quality of Ultrasound Computed Tomography Images". سامانه مدیریت نشریات علمی, 12, 4, 1401, 349-358. doi: 10.31661/jbpe.v0i0.2107-1367
Solgi, Razieh, Ghadiri, Hossein. (1401). 'Effects of Beamforming Techniques on Quality of Ultrasound Computed Tomography Images', سامانه مدیریت نشریات علمی, 12(4), pp. 349-358. doi: 10.31661/jbpe.v0i0.2107-1367
Solgi, Razieh, Ghadiri, Hossein. Effects of Beamforming Techniques on Quality of Ultrasound Computed Tomography Images. سامانه مدیریت نشریات علمی, 1401; 12(4): 349-358. doi: 10.31661/jbpe.v0i0.2107-1367

Effects of Beamforming Techniques on Quality of Ultrasound Computed Tomography Images

Journal of Biomedical Physics and Engineering
مقاله 4، دوره 12، شماره 4، مهر و آبان 2022، صفحه 349-358    اصل مقاله (1.62 M)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2107-1367
نویسندگان
Razieh Solgi1، 2؛ Hossein Ghadiri* 3، 4
1MSc, Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
2MSc, Preclinical Lab, Core Facility, Tehran University of Medical Sciences, Tehran, IranPreclinical Lab, Core Facility, Tehran University of Medical Sciences, Tehran, Iran
3PhD, Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
4PhD, Advanced Medical Technologies and Equipment Institute, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran Advanced Medical Technologies and Equipment Institute, Research Center for Molecular and Cellular Imaging, Tehran University
چکیده
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 high-contrast images, beamforming with 9 simultaneous transmitters led to a preferable technique
کلیدواژه‌ها
Beamforming؛ Fan Beam Back Projection؛ Image Quality Enhancement؛ Image Reconstruction؛ Ultrasound Computed Tomography؛ Ultrasound Imaging؛ Signal-To-Noise Ratio؛ Ultrasonography؛ Tomography
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مراجع
  • Gordon PB, Goldenberg SL. Malignant breast masses detected only by ultrasound. A retrospective review. Cancer. 1995;76(4):626-30. doi: 10.1002/1097-0142(19950815)76:4<626::aid-cncr2820760413>3.0.co;2-z. PubMed PMID: 8625156.
  • Ying X, Lin Y, Xia X, Hu B, Zhu Z, He P. A comparison of mammography and ultrasound in women with breast disease: a receiver operating characteristic analysis. Breast J. 2012;18(2):130-8. doi: 10.1111/j.1524-4741.2011.01219.x. PubMed PMID: 22356352.
  • Wiskin J, Borup D, Johnson S, Andre M, Greenleaf J, Parisky Y, Klock J. Three-dimensional nonlinear inverse scattering: Quantitative transmission algorithms, refraction corrected reflection, scanner design and clinical results. Proceedings of Meetings on Acoustics; Acoustical Society of America; 2013.
  • Opieliński K, Pruchnicki P, Gudra T, Podgórski P, Kraśnicki T, Kurcz J, Sąsiadek M. Ultrasound transmission tomography imaging of structure of breast elastography phantom compared to US, CT and MRI. Archives of Acoustics. 2013;38(3):321-34. doi: 10.2478/aoa-2013-0039.
  • Jirík R, Peterlík I, Ruiter N, Fousek J, Dapp R, Zapf M, Jan J. Sound-speed image reconstruction in sparse-aperture 3-D ultrasound transmission tomography. IEEE Trans Ultrason Ferroelectr Freq Control. 2012;59(2):254-64. doi: 10.1109/TUFFC.2012.2185. PubMed PMID: 24626033.
  • Birk M, Hagner C, Balzer M, Ruiter NV, Hübner M, Becker J. Evaluation of the Reconfiguration of the Data Acquisition System for 3D USCT. International Journal of Reconfigurable Computing. 2011. doi: 10.1155/2011/952937.
  • Marmarelis VZ, Jeong J, Shin DC, Do S. High-resolution 3-D imaging and tissue differentiation with transmission tomography. Acoustical imaging; Dordrecht: Springer; 2007. p. 195-206.
  • Fan Y, Wang H, Gemmeke H, Hopp T, Hesser J. Model-data-driven image reconstruction with neural networks for ultrasound computed tomography breast imaging. Neurocomputing. 2022;467:10-21. doi: 10.1016/j.neucom.2021.09.035.
  • Mamou J, Oelze ML. Quantitative ultrasound in soft tissues. Dordrecht: Springer; 2013.
  1. Hemzal D, Peterlík I, Rolecek J, Jan J, Ruiter N, Jirík R. 3D simulation of diffraction in ultrasonic computed tomography. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:454-7. doi: 10.1109/IEMBS.2008.4649188. PubMed PMID: 19162691.
  2. Xiong K, Zhang Y, Zhang Z, Wang S, Zhong Z. PA-NEMO: Proxy mobile IPv6-aided network mobility management scheme for 6LoWPAN. Elektronika ir Elektrotechnika. 2014;20(3):98-103. doi: 10.5755/j01.eee.20.3.3951.
  3. Yinan Q, Tang M, Zhang M. Mass customization in flat organization: The mediating role of supply chain planning and corporation coordination. Journal of Applied Research and Technology. 2014;12(2):171-81.
  4. Jeong JW, Shin DC, Do SH, Blanco C, Klipfel NE, et al. Differentiation of cancerous lesions in excised human breast specimens using multiband attenuation profiles from ultrasonic transmission tomography. J Ultrasound Med. 2008;27(3):435-51. doi: 10.7863/jum.2008.27.3.435. PubMed PMID: 18314522.
  5. Nebeker J, Nelson TR. Imaging of sound speed using reflection ultrasound tomography. J Ultrasound Med. 2012;31(9):1389-404. doi: 10.7863/jum.2012.31.9.1389. PubMed PMID: 22922619.
  6. Birk M, Zapf M, Balzer M, Ruiter N, Becker J. A comprehensive comparison of GPU-and FPGA-based acceleration of reflection image reconstruction for 3D ultrasound computer tomography. Journal of Real-Time Image Processing. 2014;9(1):159-70. doi: 10.1007/s11554-012-0267-4.
  7. Zhang C, Huang L, Zhao Z. Research on combination forecast of port cargo throughput based on time series and causality analysis. Journal of Industrial Engineering and Management (JIEM). 2013;6(1):124-34. doi: 10.3926/jiem.687.
  8. Littrup PJ, Duric N, Azevedo S, Chambers D, Candy JV, et al. Computerized ultrasound risk evaluation (CURE) system: Development of combined transmission and reflection ultrasound with new reconstruction algorithms for breast imaging. Acoustical Imaging; Boston, MA: Springer; 2002. p. 175-82.
  9. Duric N, Littrup PJ, Holsapple E, Babkin A, Duncan R, et al. Ultrasound tomography of breast tissue. Medical Imaging 2003: Ultrasonic Imaging and Signal Processing; San Diego, California, United States: SPIE; 2003. p. 24-32.
  10. Carson PL, Meyer CR, Scherzinger AL, Oughton TV. Breast imaging in coronal planes with simultaneous pulse echo and transmission ultrasound. 1981;214(4525):1141-3. doi: 10.1126/science.7302585. PubMed PMID: 7302585.
  11. Gemmeke H, Ruiter NV. 3D ultrasound computer tomography for medical imaging. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2007;580(2):1057-65. doi: 10.1016/j.nima.2007.06.116.
  12. Schreiman JS, Gisvold JJ, Greenleaf JF, Bahn RC. Ultrasound transmission computed tomography of the breast. Radiology. 1984;150(2):523-30. doi: 10.1148/radiology.150.2.6691113. PubMed PMID: 6691113.
  13. Pérez-Liva M, Herraiz JL, Udías JM, Miller E, Cox BT, Treeby BE. Time domain reconstruction of sound speed and attenuation in ultrasound computed tomography using full wave inversion. The Journal of the Acoustical Society of America. 2017;141(3):1595-604. doi: 10.1121/1.4976688.
  14. Duric N, Littrup P, Poulo L, Babkin A, Pevzner R, et al. Detection of breast cancer with ultrasound tomography: first results with the Computed Ultrasound Risk Evaluation (CURE) prototype. Med Phys. 2007;34(2):773-85. doi: 10.1118/1.2432161. PubMed PMID: 17388195.
  15. Solgi R, Gity M, Mahani H, Ghadiri H. Effect of Reconstruction Filters on Ultrasound Computed Tomography Image Quality in Two Different Detector Arrangements: A Preliminary Simulation Study. Frontiers in Biomedical Technologies. 2018;5(1-2):1-8.
  16. Salehnia M, Ghadiri H. Assessment of a Linear Phased Array Transducer Parameters for Brain Stimulation. Frontiers in Biomedical Technologies. 2017;4(1-2):1-7.
  17. Mast TD, Souriau LP, Liu DL, Tabei M, Nachman AI, Waag RC. A k-space method for large-scale models of wave propagation in tissue. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2001;48(2):341-54. doi: 10.1109/58.911717.
  18. Treeby BE, Jaros J, Rendell AP, Cox BT. Modeling nonlinear ultrasound propagation in heterogeneous media with power law absorption using a k-space pseudospectral method. J Acoust Soc Am. 2012;131(6):4324-36. doi: 10.1121/1.4712021. PubMed PMID: 22712907.
  19. Mahmoudi G, Ghadiri H. Recent Advances in X-Ray CT Image Reconstruction Techniques. Frontiers in Biomedical Technologies. 2019;6(3):114-6. doi: 10.18502/fbt.v6i3.1693.
  20. Mahmoudi G, Fouladi MR, Ay MR, Rahmim A, Ghadiri H. Sparse-view statistical image reconstruction with improved total variation regularization for X-ray micro-CT imaging. Journal of Instrumentation. 2019;14(8):P08023. doi: 10.1088/1748-0221/14/08/P08023.
  21. Jiang X, Xiao Y, Wang Y, Yu J, Zheng H. Plane wave imaging combined with eigenspace-based minimum variance beamforming using a ring array in ultrasound computed tomography. Biomed Eng Online. 2019;18(1):7. doi: 10.1186/s12938-019-0629-2. PubMed PMID: 30674326. PubMed PMCID: PMC6343295.
  22. Lou C, Song J, Zhou L, Peng Y, Ding M, Yuchi M. A fast contrast improved zero-phase filtered delay multiply and sum in ultrasound computed tomography. Journal of Medical Imaging and Health Informatics. 2018;8(9):1850-4. doi: 10.1166/jmihi.2018.2566.
  23. Lou C, Peng Y, Song J, Zhou L, Ding M, Yuchi M. Zero-phase filtered delay multiply and sum in ultrasound computed tomography. Journal of Medical Imaging and Health Informatics. 2017;7(5):1034-8. doi: 10.1166/jmihi.2017.2133.
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