Image Reconstruction Algorithm for Ultrasound Tomography Based on Transmission Mode

Abstract:

One of the key issues in ultrasonic tomography is the calculation of sensitivity and image reconstruction based on the sensitivity. A method is developed to calculate the sensitivity of ultrasonic tomography in rectangular area in this paper. On this basis, numerical modelling calculation of different substances distribution in a rectangular area is made of by using LBP algorithm, the standard Tikhonov regularization method and the Landweber iteration method respectively. Reconstruction simulation experiments of changing the quantity of pixel is conducted. The results show that imaging results of Tikhonov regularization method and the Landweber iterative method are consistent with the original image for the overdetermined problem and superior to those reconstructed by LBP algorithm. The image quality of Tikhonov in the underdetermined problems is poor than that in overdetemined problem and still better than that in the Landweber and LBP algorithm. Compared by numerical simulation, Tikhonov regularization method in both overdetermined or underdetermined problems are better than Landweber iteration and LBP algorithm, and LBP algorithm is only suitable to qualitative analysis.

• Periodical: Key Engineering Materials (Volumes 474-476)
• Pages: 754-759
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.474-476.754
• Online since: April 2011
• Authors: Yan Qiu Li, Shi Liu
• Keywords: Algorithm (GA), Computed Tomography, Image Reconstruction, Ultrasound (US)

References

[1] M. Ashfaq and H. Ermert: A new approach towards ultrasonic transmission tomography with a standard ultrasound system, Proc. IEEE Ultrasonics Symp, pp.1848-1851, (2004).

DOI: 10.1109/ultsym.2004.1418189

[2] T.O. M¨uller, T.M. Deck, et al.: Ultrasound computer tomography: image reconstruction using local absorption and sound speed profiles, European Society for Engineering and Medicine, pp.18-21, (2003).

[3] F. Anderson and F. Morgan: Active imaging analysis via ellipsoidal projection, Acoust. Image, 21, p.171–181, (1995).

[4] HUANG Liang, HUANG Zheng-yu, WANG You: Inversion Algorithm Study on Ultrasonic Computerized Tomography for Structural Concrete[J]. Journal of Hunan University (NaturalSciences) 2006, 33(5).

[5] FENG Bai-quan, ZHAGNG Xiao-pei, NIU Jian-jun: Ultrasound imaging technology used in Nondestructive testing of bridge, China Exploration Engineering. 2008. 2.

[6] LI Zhuo-qiu, XIAO Min-fang, SONG Xian-hui, FANG Xi: CT Images Analysis for Concrete Defects Detection Based on Ultrasonic Pulse Velocity Measurement [J]. Journal of Wuhan University of Technology, 2006, 28(3).

[7] ZHOU Li-ming, WANG Fa-gang, XIAO Guo-qiang: The Application of Ultrasonic Computed Tomography to Test the Concrete Quality of TGP [J]. NDT, 2004, 26(10).

[8] G. H. Glover and J. C. Sharp: Reconstruction of ultrasound propagation speed distribution in soft tissue: Time-of-flight tomography, IEEE Trans. Sonic and Ultrasonics, vol. 24, no. 4, p.229–234, (1977).

DOI: 10.1109/t-su.1977.30936

[9] Dong Xiangyuan, Guo Shuqing: ECT and Its Application. Huanghe Conservancy Press. August, (2008).

[10] Liu S, Yang WQ, Wang H, Jiang F, Su Y: Investigation of square fluidized beds using capacitance tomography: Preliminary results. Measurement Science & Technology 2001; 12: 1120–5.

DOI: 10.1088/0957-0233/12/8/318

[11] C G Xie, S M Huang, B S Holye: Electrical Capacitance Tomography for Flow Imaging: System Model for Development of Image Reconstruction Algorithms and Design of Primary Sensors[J]. IEE Proceedings-G, 1992, 139(1): 89-98.

DOI: 10.1049/ip-g-2.1992.0015

[12] S Liu, L Fu, W Q Yang. Optimization of an Iterative Image Reconstruction Algorithm for Electrical Capacitance Tomography [J]. Meas. Sci. Technol, 1999, 10(1): L37-39.

DOI: 10.1088/0957-0233/10/7/102

[13] A. C. Kak and M. Slaney: Principles of Computerized Tomographic Imaging. Society of Industrial and Applied Mathematics, (2001).