Abstract
The current USCT-algorithms have limitations due to the object size and contrast to be reconstructed. To avoid USCT-algorithms divergence, it is common to initialize USCT-algorithms with a priori anatomical information of the reconstructing region. This information can be obtained from transmitted signals. Our work presents, on simulated medium, an alternative to the Modified Median Filter (MMF) that improves the transmission reconstructed image, and aims to offer a better a priori information to USCT-algorithms. Herein, it was used: 64 transducers (100 kHz) distributed around the medium; Two sets of data were generated: the first with speed of sound between \( [1400\quad 1680]\,{\text{m}}/{\text{s}} \) and the second with speed of sound between \( [1350\quad 1730]\,{\text{m}}/{\text{s}} \) simulating a higher contrast medium; Simultaneous Algebraic Reconstruction Technique (SIRT) as the transmission reconstruction algorithm; a Matlab toolbox (k-wave) for data generation of ultrasound propagation on heterogeneous medium; Spatial filters (mean, median, Gaussian), the original MMF over several thresholds and its modification proposed here (m-MMF), which eliminates the need of threshold. Normalized Root Mean Square Error was utilized over the reconstructing objects for evaluation. Comparing the SIRT reconstructions performance, better results were found when any studied filter is executed with the SIRT compared to none. Among the filters, the m-MMF yielded better results than the other studied filters, and more importantly, the improvements were higher for high contrast. The investigation suggests that the use of specific filters on Transmission reconstruction algorithm for USCT improve the extraction of information of the medium that might be valuable as priors for USCT of high contrast heterogeneous medium.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wiskin, J., Borup, D., Johnson, S. (2011). Inverse scattering theory. In Acoustical Imaging (pp. 53–59). Springer, Dordrecht.
Huthwaite, P., Simonetti, F. (2011). High-resolution imaging without iteration: A fast and robust method for breast ultrasound tomography. The Journal of the Acoustical Society of America, 130(3), 1721–1734.
Cavicchi, T. J., Johnson, S. A., O’Brien, W. D. (1988). Application of the sinc basis moment method to the reconstruction of infinite circular cylinders. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 35(1), 22–33.
Lavarello, R., Oelze, M. (2008). A study on the reconstruction of moderate contrast targets using the distorted Born iterative method. ieee transactions on ultrasonics, ferroelectrics, and frequency control, 55(1).
Whiting, P. T. (1992). Resolution enhancement of seasat scatterometer data (Doctoral dissertation, Brigham Young University. Department of Electrical and Computer Engineering).
Andersen, A. H., Kak, A. C. (1984). Simultaneous algebraic reconstruction technique (SART): a superior implementation of the ART algorithm. Ultrasonic imaging, 6(1), 81–94.
Treeby, B. E., Cox, B. T. (2010). k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields. Journal of biomedical optics, 15(2), 021314–021314.
Gonzalez, R. C., Woods, R. E. (2008). Digital image processing, 3rd Edition, Prentice Hall, ISBN: 9780131687288.
Acknowledgements
We would like to acknowledge the financial support from FAPESP, grant number 2014/50889-7 and 2018/04290-7.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
The authors declare that they have no conflict of interest.
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Cardenas, D.A.C., Furuie, S.S. (2019). Improving Priors for USTC via Transmission Tomography: A Simulation Study. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G.S. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/1. Springer, Singapore. https://doi.org/10.1007/978-981-10-9035-6_32
Download citation
DOI: https://doi.org/10.1007/978-981-10-9035-6_32
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-9034-9
Online ISBN: 978-981-10-9035-6
eBook Packages: EngineeringEngineering (R0)