Abstract
The genetic algorithm was used to obtain sparse arrays with 8, 16, 32 and 64 transducers in a possible aperture size of 128 elements. The optimization was made by minimizing a fitness function that takes into account the mainlobe width and sidelobe levels of the array radiation pattern. The sparse arrays were used to image 11 twisted wires in a medical phantom. The sparse arrays were able to generate images with resolution comparable to a 128 elements array and reduced artifacts in comparison to arrays with the same number of elements.
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References
Contreras Ortiz, S.H., Chiu, T., Fox, M.D.: Ultrasound image enhancement: a review. Biomed. Signal Process. Control 7(5), 419–428 (2012)
Drinkwater, B.W., Wilcox, P.D.: Ultrasonic arrays for non-destructive evaluation: a review. NDT E Int. 39(7), 525–541 (2006)
Sciallero, C., Trucco, A.: Design of a sparse planar array for optimized 3D medical ultrasound imaging. In: 23rd European Signal Processing Conference (EUSIPCO), 1341–1345. IEEE, Nice (2015)
Martínez-Graullera, O., et al.: 2D array design based on Fermat spiral for ultrasound imaging. Ultrasonics 50(2), 280–289 (2010)
Austeng, A., Holm, S.: Sparse 2-D arrays for 3-D phased array imaging—design methods. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 49(8), 1073–1086 (2002)
Roux, E., et al.: 2-D ultrasound sparse arrays multidepth radiatio optimization using simulated annealing and spiral-array inspired energy functions. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 63(12), 2138–2149 (2016)
Velichko, A., Wilcox, P.D.: Post-processing of the full matrix of ultrasonic transmit-receive array data for guided wave pipe inspection. NDT E Int. 38(8), 137–144 (2005)
Kirkebø, J.E., Austeng, A.: Improved beamforming using curved sparse 2D arrays in ultrasound. Ultrasonics 46(2), 119–128 (2007)
Prado, V.T., et al.: The use of instantaneous phase for improving sparse arrays images. In: Bassiri-Gharb, N. (eds.) IEEE International Ultrasonics Symposium, vol. 61, pp. 1204–1215. IEEE, Prague (2013)
Lockwood, G.R., et al.: Optimizing the radiation pattern of sparse periodic linear arrays. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 43(1), 7–14 (1996)
Trucco, A.: Thinning and weighting of large planar arrays by simulated annealing. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 46(2), 347–355 (1999)
Yang, P., Chen, B., Shi, K.-R.: A novel method to design sparse linear arrays for ultrasonic phased array. Ultrasonics 44(22), 717–721 (2006)
Yang, S.-H., Kiang, J.-F.: Optimization of sparse linear arrays using harmony search algorithms. IEEE Trans. Antennas Propag. 63(11), 4732–4738 (2015)
Haupt, R.L.: Thinned arrays using genetic algorithms. IEEE Trans. Antennas Propag. 42(7), 993–999 (1994)
Chen, K., He, Z., Han, C.A.: modified real GA for the sparse linear array synthesis with multiple constraints. IEEE Trans. Antennas Propag. 54(7), 2169–2173 (2006)
CARTER, J.N.: Introduction to Using Genetic Algorithms, 1st edn. Elsevier B.V., London (2003)
Dank Phantom Model 525 Homepage. http://www.fantom.dk/525.htm. Accessed 20 Apr 2018
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de Souza, J.C.E., Prado, V.T., Kitano, C., Higuti, R.T. (2019). Sparse Array Design Using the Genetic Algorithm for Optimizing the Radiation Pattern of Linear Arrays. In: Costa-Felix, R., Machado, J., Alvarenga, A. (eds) XXVI Brazilian Congress on Biomedical Engineering. IFMBE Proceedings, vol 70/2. Springer, Singapore. https://doi.org/10.1007/978-981-13-2517-5_67
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DOI: https://doi.org/10.1007/978-981-13-2517-5_67
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