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Beamforming for Density-Based DBIM Scheme in Ultrasound Tomography

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Intelligent Systems and Networks (ICISN 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 243))

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Abstract

The diagnostic ultrasound technique uses scattered information appearing limitations as the research models’ motivation to create a new image to supplement quantitative ultrasound information in tomography ultrasound imaging. One promising solution is density imaging, which is capable of detecting diseased tissues. In tomography ultrasound imaging, the DBIM method is commonly used to restore the object to be imaged; this method’s advantage is fast convergence, but easy to be affected by noise. Therefore, a beamforming technique using multiple probe elements transmitting simultaneously to produce a narrow beam capable of minimizing the effect of noise has been proposed for density imaging using DBIM. The numerical simulation results have shown that noise and normalization errors are significantly reduced when using beamforming DBIM.

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Correspondence to Duc-Tan Tran .

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Huy, T.Q., Duong, T.B., Doan, P.T., Tran, DT. (2021). Beamforming for Density-Based DBIM Scheme in Ultrasound Tomography. In: Tran, DT., Jeon, G., Nguyen, T.D.L., Lu, J., Xuan, TD. (eds) Intelligent Systems and Networks . ICISN 2021. Lecture Notes in Networks and Systems, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-2094-2_20

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