Wideband 2-D sparse array optimization combined with multiline reception for real-time 3-D medical ultrasound
•Simulated Annealing optimization of sparse array for 3-D ultrasound medical imaging.•Method to reduce the active channel count and implement high volume rate imaging.•Combination of dense array in transmission and optimized sparse array in reception.•Original cost function assessed under different...
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| Published in: | Ultrasonics Vol. 111; p. 106318 |
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01.03.2021
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| Abstract | •Simulated Annealing optimization of sparse array for 3-D ultrasound medical imaging.•Method to reduce the active channel count and implement high volume rate imaging.•Combination of dense array in transmission and optimized sparse array in reception.•Original cost function assessed under different signal fractional bandwidths.•Uniform image quality in terms of resolution and contrast by varying the bandwidths.
Three-dimensional (3-D) ultrasound medical imaging provides advantages over a traditional 2-D visualization method. However, the use of a 2-D array to acquire 3-D images may result in a transducer composed of thousands of elements and a large amount of data in the front-end, making it impractical to implement high volume rate imaging and individually control all elements with the scanner. This paper proposes an original approach, valid for wideband operations centered on the design center frequency, to maintain a limited number of active elements and firing events, while preserving high resolution and volume rate. A 7 MHz 2-D array is composed of two circular concentric subparts. In the inner footprint the elements are distributed following a regular grid, while in the outer subpart a sparse non-grid solution is adopted. The inner circular dense array is composed of 256 elements with a pitch of 0.5λ. The overall footprint, delimited by the outer subpart, is equivalent to a 256-element array with a pitch of 1.5λ. All the elements of the inner subpart are activated in transmission. Following an optimization procedure, both subparts, including a subset of the elements placed in the inner footprint (i.e., sparse on-the-grid array) and the elements spread over the outer subpart (i.e., sparse off-the-grid array) are used to receive. A total number of 256 elements, defined by the sum of elements distributed in the inner and outer subparts, is fixed in reception. The proposed approach implies a multiline reception strategy, where for each transmission 3 × 3 firing events occur in reception. The sparse receive array is optimized by using a simulated annealing optimization. An original cost function is designed specifically to achieve successful results in wideband conditions. The receive array is optimized in order to obtain consistent results for different signal bandwidths of the excitation pulse. For all the desired bandwidths, the optimized array will provide the recovery of the lower lateral resolution of the transmission phase and, at the same time, a significant reduction of the undesired side lobe raised in the 3-D two-way beam pattern. The 3-D two-way beam pattern analysis reveals that the proposed solution is able to guarantee a lateral resolution of 1.35 mm at a focus depth of 25 mm for the three fractional signal bandwidths of interest (i.e., 30%, 50% and 70%) considered in the optimization process. The undesired side lobes are successfully suppressed especially when, as a consequence of the multiline strategy, non-coincident steering angles are used in transmission and reception. Moreover, thanks to the firing scheme adopted, a high-volume rate of 63 volumes per second may be achieved at the focus depth. The volume rate decreases to 32 volumes per second at twice the focal depth. Phantom image simulations show that the proposed method maintains a satisfactory and almost uniform image quality in terms of resolution and contrast for all the signal bandwidths of interest. |
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| AbstractList | Three-dimensional (3-D) ultrasound medical imaging provides advantages over a traditional 2-D visualization method. However, the use of a 2-D array to acquire 3-D images may result in a transducer composed of thousands of elements and a large amount of data in the front-end, making it impractical to implement high volume rate imaging and individually control all elements with the scanner. This paper proposes an original approach, valid for wideband operations centered on the design center frequency, to maintain a limited number of active elements and firing events, while preserving high resolution and volume rate. A 7 MHz 2-D array is composed of two circular concentric subparts. In the inner footprint the elements are distributed following a regular grid, while in the outer subpart a sparse non-grid solution is adopted. The inner circular dense array is composed of 256 elements with a pitch of 0.5λ. The overall footprint, delimited by the outer subpart, is equivalent to a 256-element array with a pitch of 1.5λ. All the elements of the inner subpart are activated in transmission. Following an optimization procedure, both subparts, including a subset of the elements placed in the inner footprint (i.e., sparse on-the-grid array) and the elements spread over the outer subpart (i.e., sparse off-the-grid array) are used to receive. A total number of 256 elements, defined by the sum of elements distributed in the inner and outer subparts, is fixed in reception. The proposed approach implies a multiline reception strategy, where for each transmission 3 × 3 firing events occur in reception. The sparse receive array is optimized by using a simulated annealing optimization. An original cost function is designed specifically to achieve successful results in wideband conditions. The receive array is optimized in order to obtain consistent results for different signal bandwidths of the excitation pulse. For all the desired bandwidths, the optimized array will provide the recovery of the lower lateral resolution of the transmission phase and, at the same time, a significant reduction of the undesired side lobe raised in the 3-D two-way beam pattern. The 3-D two-way beam pattern analysis reveals that the proposed solution is able to guarantee a lateral resolution of 1.35 mm at a focus depth of 25 mm for the three fractional signal bandwidths of interest (i.e., 30%, 50% and 70%) considered in the optimization process. The undesired side lobes are successfully suppressed especially when, as a consequence of the multiline strategy, non-coincident steering angles are used in transmission and reception. Moreover, thanks to the firing scheme adopted, a high-volume rate of 63 volumes per second may be achieved at the focus depth. The volume rate decreases to 32 volumes per second at twice the focal depth. Phantom image simulations show that the proposed method maintains a satisfactory and almost uniform image quality in terms of resolution and contrast for all the signal bandwidths of interest. •Simulated Annealing optimization of sparse array for 3-D ultrasound medical imaging.•Method to reduce the active channel count and implement high volume rate imaging.•Combination of dense array in transmission and optimized sparse array in reception.•Original cost function assessed under different signal fractional bandwidths.•Uniform image quality in terms of resolution and contrast by varying the bandwidths. Three-dimensional (3-D) ultrasound medical imaging provides advantages over a traditional 2-D visualization method. However, the use of a 2-D array to acquire 3-D images may result in a transducer composed of thousands of elements and a large amount of data in the front-end, making it impractical to implement high volume rate imaging and individually control all elements with the scanner. This paper proposes an original approach, valid for wideband operations centered on the design center frequency, to maintain a limited number of active elements and firing events, while preserving high resolution and volume rate. A 7 MHz 2-D array is composed of two circular concentric subparts. In the inner footprint the elements are distributed following a regular grid, while in the outer subpart a sparse non-grid solution is adopted. The inner circular dense array is composed of 256 elements with a pitch of 0.5λ. The overall footprint, delimited by the outer subpart, is equivalent to a 256-element array with a pitch of 1.5λ. All the elements of the inner subpart are activated in transmission. Following an optimization procedure, both subparts, including a subset of the elements placed in the inner footprint (i.e., sparse on-the-grid array) and the elements spread over the outer subpart (i.e., sparse off-the-grid array) are used to receive. A total number of 256 elements, defined by the sum of elements distributed in the inner and outer subparts, is fixed in reception. The proposed approach implies a multiline reception strategy, where for each transmission 3 × 3 firing events occur in reception. The sparse receive array is optimized by using a simulated annealing optimization. An original cost function is designed specifically to achieve successful results in wideband conditions. The receive array is optimized in order to obtain consistent results for different signal bandwidths of the excitation pulse. For all the desired bandwidths, the optimized array will provide the recovery of the lower lateral resolution of the transmission phase and, at the same time, a significant reduction of the undesired side lobe raised in the 3-D two-way beam pattern. The 3-D two-way beam pattern analysis reveals that the proposed solution is able to guarantee a lateral resolution of 1.35 mm at a focus depth of 25 mm for the three fractional signal bandwidths of interest (i.e., 30%, 50% and 70%) considered in the optimization process. The undesired side lobes are successfully suppressed especially when, as a consequence of the multiline strategy, non-coincident steering angles are used in transmission and reception. Moreover, thanks to the firing scheme adopted, a high-volume rate of 63 volumes per second may be achieved at the focus depth. The volume rate decreases to 32 volumes per second at twice the focal depth. Phantom image simulations show that the proposed method maintains a satisfactory and almost uniform image quality in terms of resolution and contrast for all the signal bandwidths of interest. Three-dimensional (3-D) ultrasound medical imaging provides advantages over a traditional 2-D visualization method. However, the use of a 2-D array to acquire 3-D images may result in a transducer composed of thousands of elements and a large amount of data in the front-end, making it impractical to implement high volume rate imaging and individually control all elements with the scanner. This paper proposes an original approach, valid for wideband operations centered on the design center frequency, to maintain a limited number of active elements and firing events, while preserving high resolution and volume rate. A 7 MHz 2-D array is composed of two circular concentric subparts. In the inner footprint the elements are distributed following a regular grid, while in the outer subpart a sparse non-grid solution is adopted. The inner circular dense array is composed of 256 elements with a pitch of 0.5λ. The overall footprint, delimited by the outer subpart, is equivalent to a 256-element array with a pitch of 1.5λ. All the elements of the inner subpart are activated in transmission. Following an optimization procedure, both subparts, including a subset of the elements placed in the inner footprint (i.e., sparse on-the-grid array) and the elements spread over the outer subpart (i.e., sparse off-the-grid array) are used to receive. A total number of 256 elements, defined by the sum of elements distributed in the inner and outer subparts, is fixed in reception. The proposed approach implies a multiline reception strategy, where for each transmission 3 × 3 firing events occur in reception. The sparse receive array is optimized by using a simulated annealing optimization. An original cost function is designed specifically to achieve successful results in wideband conditions. The receive array is optimized in order to obtain consistent results for different signal bandwidths of the excitation pulse. For all the desired bandwidths, the optimized array will provide the recovery of the lower lateral resolution of the transmission phase and, at the same time, a significant reduction of the undesired side lobe raised in the 3-D two-way beam pattern. The 3-D two-way beam pattern analysis reveals that the proposed solution is able to guarantee a lateral resolution of 1.35 mm at a focus depth of 25 mm for the three fractional signal bandwidths of interest (i.e., 30%, 50% and 70%) considered in the optimization process. The undesired side lobes are successfully suppressed especially when, as a consequence of the multiline strategy, non-coincident steering angles are used in transmission and reception. Moreover, thanks to the firing scheme adopted, a high-volume rate of 63 volumes per second may be achieved at the focus depth. The volume rate decreases to 32 volumes per second at twice the focal depth. Phantom image simulations show that the proposed method maintains a satisfactory and almost uniform image quality in terms of resolution and contrast for all the signal bandwidths of interest.Three-dimensional (3-D) ultrasound medical imaging provides advantages over a traditional 2-D visualization method. However, the use of a 2-D array to acquire 3-D images may result in a transducer composed of thousands of elements and a large amount of data in the front-end, making it impractical to implement high volume rate imaging and individually control all elements with the scanner. This paper proposes an original approach, valid for wideband operations centered on the design center frequency, to maintain a limited number of active elements and firing events, while preserving high resolution and volume rate. A 7 MHz 2-D array is composed of two circular concentric subparts. In the inner footprint the elements are distributed following a regular grid, while in the outer subpart a sparse non-grid solution is adopted. The inner circular dense array is composed of 256 elements with a pitch of 0.5λ. The overall footprint, delimited by the outer subpart, is equivalent to a 256-element array with a pitch of 1.5λ. All the elements of the inner subpart are activated in transmission. Following an optimization procedure, both subparts, including a subset of the elements placed in the inner footprint (i.e., sparse on-the-grid array) and the elements spread over the outer subpart (i.e., sparse off-the-grid array) are used to receive. A total number of 256 elements, defined by the sum of elements distributed in the inner and outer subparts, is fixed in reception. The proposed approach implies a multiline reception strategy, where for each transmission 3 × 3 firing events occur in reception. The sparse receive array is optimized by using a simulated annealing optimization. An original cost function is designed specifically to achieve successful results in wideband conditions. The receive array is optimized in order to obtain consistent results for different signal bandwidths of the excitation pulse. For all the desired bandwidths, the optimized array will provide the recovery of the lower lateral resolution of the transmission phase and, at the same time, a significant reduction of the undesired side lobe raised in the 3-D two-way beam pattern. The 3-D two-way beam pattern analysis reveals that the proposed solution is able to guarantee a lateral resolution of 1.35 mm at a focus depth of 25 mm for the three fractional signal bandwidths of interest (i.e., 30%, 50% and 70%) considered in the optimization process. The undesired side lobes are successfully suppressed especially when, as a consequence of the multiline strategy, non-coincident steering angles are used in transmission and reception. Moreover, thanks to the firing scheme adopted, a high-volume rate of 63 volumes per second may be achieved at the focus depth. The volume rate decreases to 32 volumes per second at twice the focal depth. Phantom image simulations show that the proposed method maintains a satisfactory and almost uniform image quality in terms of resolution and contrast for all the signal bandwidths of interest. |
| ArticleNumber | 106318 |
| Author | Sciallero, Claudia Trucco, Andrea |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33333484$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1109_TUFFC_2022_3162419 crossref_primary_10_1016_j_ultras_2021_106599 crossref_primary_10_1007_s40846_022_00755_y crossref_primary_10_1016_j_ultras_2025_107748 crossref_primary_10_1109_TUFFC_2024_3460688 crossref_primary_10_1109_TUFFC_2025_3583178 |
| Cites_doi | 10.1177/016173469401600301 10.1016/j.ultras.2005.06.005 10.1038/s41598-017-09534-1 10.1016/S0165-1684(96)00166-1 10.1631/jzus.C0910037 10.1155/2017/6027029 10.1016/S0041-624X(02)00163-4 10.1109/EUSIPCO.2015.7362602 10.1016/S0301-5629(98)00043-X 10.1243/09544119JEIM586 10.1109/TUFFC.2017.2687521 10.1109/TUFFC.2011.2123 10.1109/JSSC.2015.2505714 10.1109/TBME.2013.2267742 10.1016/S0041-624X(99)00089-X 10.1109/58.753023 10.1109/TUFFC.2016.2557622 10.1109/58.935711 10.1109/ULTSYM.2010.5935854 10.1126/science.220.4598.671 10.1016/S0041-624X(00)00013-5 10.1109/58.139123 10.1109/TUFFC.2015.2496580 10.1109/TUFFC.2018.2839085 10.1109/TUFFC.2016.2614776 10.1109/TUFFC.2016.2602242 10.1109/48.775291 10.1109/58.484458 |
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| Keywords | Sparse array 2-D arrays 3-D medical ultrasound Simulated annealing |
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| References | Roux, Ramalli, Tortoli, Cachard, Robini, Liebgott (b0120) 2016; 63 Roux, Ramalli, Liebgott, Cachard, Robini, Tortoli (b0095) 2017; 64 Trucco (b0065) 1999; 46 Behar, Adam (b0100) 2005; 43 Trucco (b0140) 2000; 38 Savord, Solomon (b0020) 2003; 1 Cardone, Cincotti, Gori, Pappalardo (b0130) 2001; 48 Lockwood, Fosyer (b0055) 1996; 43 C. Sciallero, A. Trucco, Design of a sparse planar array for optimized 3D medical ultrasound imaging, 23rd Eur. Signal Process. Conf. (EUSIPCO), Nice, France, Aug./Sep. 2015, pp. 1341–1345. Chen, Shen, Zhou, Chen (b0075) Apr. 2010; 11 Diarra, Robini, Tortoli, Cachard, Liebgott (b0085) Nov. 2013; 60 Carpenter, Rashid, Ghovanloo, Cowell, Freear, Degertek (b0040) 2016; 63 Nikolov, Jensen (b0060) 2000; 37 J.W. Choe, Ö. Oralkan, P.T. Khuri-Yakub, Design optimization for a 2-D sparse transducer array for 3-D ultrasound imaging, in Proc. IEEE Ultrason. Symp. (IUS), Oct. 2010, pp. 1928–1931. Nelson, Pretorius (b0005) 1998; 24 Bouzari (b0045) 2017; 64 Jensen (b0155) 1996; 34 I. Ben Daya, A. Chen, M.J. Shafiee, A. Wong, J. T. W. Yeow, Compensated row-column ultrasound imaging system using multilayered edge guided stochastically fully connected random fields, Sci. Rep. 7, 2017. Trucco (b0070) 2002; 40 Zhou, Wei, Jintamethasawat, Sampson, Kripfgans, Fowlkes, Wenisch, Chakrabarti (b0105) 2018; 65 Holm, Elgetun (b0115) 1995; 2 Kirkpatrick, Gellat, Vecchi (b0135) 1983; 220 Tekes, Karaman, Degertekin (b0110) 2011; 58 Chao Chen, Shreyas B. Raghunathan, Zili Yu, Maysam Shabanimotlagh, Zhao Chen, Zu-yao Chang, Sandra Blaak, Christian Prins, Jacco Ponte, Emile Noothout, Hendrik J. Vos, Johan G. Bosch, Martin D. Verweij, Nico de Jong, Michiel A. P. Pertijs, A prototype PZT matrix transducer with low-power integrated receive ASIC for 3-D transesophageal echocardiography, IEEE Trans. Ultrason, Ferroelect., Freq. Control 63(1) (2016) 47-59. Trucco, Murino (b0125) 1999; 24 Prager, Ijaz, Gee, Treece (b0010) 2010; 224 R.E. Davidsen, J.A. Jensen, S.W. Smith, Two-dimensional random arrays for real-time volumetric imaging, Ultrason. Imaging 16 (1994) 143-163. J.A. Jensen, N.B. Svendsen, Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers, IEEE Trans. Ultrason, Ferroelect., Freq. Control, vol. 39, no. 2, pp. 262-267, 1992. Chen, Lee, Sodini (b0025) 2016; 51 Q. Huang, Z. Zeng, A review on real-time 3D ultrasound imaging technology, BioMed Res. Int., vol. 2017, article ID 6027029, 20 pages, 2017. Szabo (b0145) 2004 Murino, Trucco, Tesei (b0150) 1997; 56 Carpenter (10.1016/j.ultras.2020.106318_b0040) 2016; 63 Diarra (10.1016/j.ultras.2020.106318_b0085) 2013; 60 10.1016/j.ultras.2020.106318_b0160 Roux (10.1016/j.ultras.2020.106318_b0120) 2016; 63 Jensen (10.1016/j.ultras.2020.106318_b0155) 1996; 34 10.1016/j.ultras.2020.106318_b0080 Chen (10.1016/j.ultras.2020.106318_b0025) 2016; 51 Trucco (10.1016/j.ultras.2020.106318_b0140) 2000; 38 Murino (10.1016/j.ultras.2020.106318_b0150) 1997; 56 Zhou (10.1016/j.ultras.2020.106318_b0105) 2018; 65 Trucco (10.1016/j.ultras.2020.106318_b0125) 1999; 24 Bouzari (10.1016/j.ultras.2020.106318_b0045) 2017; 64 Szabo (10.1016/j.ultras.2020.106318_b0145) 2004 Nikolov (10.1016/j.ultras.2020.106318_b0060) 2000; 37 Prager (10.1016/j.ultras.2020.106318_b0010) 2010; 224 Trucco (10.1016/j.ultras.2020.106318_b0065) 1999; 46 Nelson (10.1016/j.ultras.2020.106318_b0005) 1998; 24 Savord (10.1016/j.ultras.2020.106318_b0020) 2003; 1 Roux (10.1016/j.ultras.2020.106318_b0095) 2017; 64 Tekes (10.1016/j.ultras.2020.106318_b0110) 2011; 58 10.1016/j.ultras.2020.106318_b0030 10.1016/j.ultras.2020.106318_b0050 Behar (10.1016/j.ultras.2020.106318_b0100) 2005; 43 10.1016/j.ultras.2020.106318_b0090 Holm (10.1016/j.ultras.2020.106318_b0115) 1995; 2 Lockwood (10.1016/j.ultras.2020.106318_b0055) 1996; 43 Cardone (10.1016/j.ultras.2020.106318_b0130) 2001; 48 Trucco (10.1016/j.ultras.2020.106318_b0070) 2002; 40 Chen (10.1016/j.ultras.2020.106318_b0075) 2010; 11 10.1016/j.ultras.2020.106318_b0015 10.1016/j.ultras.2020.106318_b0035 Kirkpatrick (10.1016/j.ultras.2020.106318_b0135) 1983; 220 |
| References_xml | – volume: 40 start-page: 485 year: 2002 end-page: 489 ident: b0070 article-title: Weighting and thinning wide-band arrays by simulated annealing publication-title: Ultrasonics – volume: 224 start-page: 193 year: 2010 end-page: 223 ident: b0010 article-title: Three-dimensional ultrasound imaging publication-title: Proc. Inst. Mech. Eng. H, J. Eng. Med. – volume: 1 start-page: 945 year: 2003 end-page: 953 ident: b0020 article-title: Fully sampled matrix transducer for real time 3D ultrasonic imaging publication-title: Proc. IEEE Ultrason. Symp. – volume: 65 start-page: 1346 year: 2018 end-page: 1358 ident: b0105 article-title: High-volume-rate 3-D ultrasound imaging based on synthetic aperture sequential beamforming with chirp-coded excitation publication-title: IEEE Trans. Ultrason. Ferroelect., Freq Control – volume: 37 start-page: 667 year: 2000 end-page: 671 ident: b0060 article-title: Application of different spatial sampling patterns for sparse array transducer design publication-title: Ultrasonics – volume: 11 start-page: 261 year: Apr. 2010 end-page: 269 ident: b0075 article-title: Optimized simulated annealing algorithm for thinning and weighting large planar arrays publication-title: J. Zhejiang Univ. Sci. C – volume: 48 start-page: 943 year: 2001 end-page: 952 ident: b0130 article-title: Optimization of wide-band linear arrays publication-title: IEEE Trans. Ultrason., Ferroelect., Freq Control – year: 2004 ident: b0145 article-title: Diagnostic ultrasound imaging: inside out – volume: 64 start-page: 108 year: 2017 end-page: 125 ident: b0095 article-title: Wideband 2-D array design optimization with fabrication constrains for 3-D US imaging publication-title: IEEE Trans. Ultrason. Ferroelect. Freq Control – volume: 51 start-page: 738 year: 2016 end-page: 751 ident: b0025 article-title: A column-row-parallel ASIC architecture for 3-D portable medical ultrasonic imaging publication-title: IEEE J. Solid-State Circuits – volume: 56 start-page: 177 year: 1997 end-page: 183 ident: b0150 article-title: Beam pattern formulation and analysis for wide-band beamforming systems using sparse arrays publication-title: Signal Process. – volume: 38 start-page: 161 year: 2000 end-page: 165 ident: b0140 article-title: Aperture and element minimization in linear sparse arrays with desired beam patterns publication-title: Ultrasonics – reference: C. Sciallero, A. Trucco, Design of a sparse planar array for optimized 3D medical ultrasound imaging, 23rd Eur. Signal Process. Conf. (EUSIPCO), Nice, France, Aug./Sep. 2015, pp. 1341–1345. – volume: 43 start-page: 15 year: 1996 end-page: 19 ident: b0055 article-title: Optimising the radiation pattern of sparse periodic two-dimensional arrays publication-title: IEEE Trans. Ultrason., Ferroelectr., Freq. Control – volume: 24 start-page: 291 year: 1999 end-page: 299 ident: b0125 article-title: Stochastic optimization of linear sparse arrays publication-title: IEEE J. Oceanic Eng. – volume: 220 start-page: 671 year: 1983 end-page: 680 ident: b0135 article-title: Optimization by simulated annealing publication-title: Science – volume: 46 start-page: 347 year: 1999 end-page: 355 ident: b0065 article-title: Thinning and weighting of large planar arrays by simulated annealing publication-title: IEEE Trans. Ultrason., Ferroelect., Freq. Control, Mar. – reference: J.A. Jensen, N.B. Svendsen, Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers, IEEE Trans. Ultrason, Ferroelect., Freq. Control, vol. 39, no. 2, pp. 262-267, 1992. – volume: 58 start-page: 2596 year: 2011 end-page: 2607 ident: b0110 article-title: Optimizing circular ring arrays for forward-looking IVUS imaging publication-title: IEEE Trans. Ultrason, Ferroelect., Freq Control – reference: R.E. Davidsen, J.A. Jensen, S.W. Smith, Two-dimensional random arrays for real-time volumetric imaging, Ultrason. Imaging 16 (1994) 143-163. – volume: 43 start-page: 777 year: 2005 end-page: 778 ident: b0100 article-title: Optimization of sparse synthetic transmit aperture imaging with coded excitation and frequency division publication-title: Ultrasonics – volume: 24 start-page: 1243 year: 1998 end-page: 1270 ident: b0005 article-title: Three-dimensional ultrasound imaging publication-title: Ultrasound Med. Biol. – reference: I. Ben Daya, A. Chen, M.J. Shafiee, A. Wong, J. T. W. Yeow, Compensated row-column ultrasound imaging system using multilayered edge guided stochastically fully connected random fields, Sci. Rep. 7, 2017. – volume: 34 start-page: 351 year: 1996 end-page: 353 ident: b0155 article-title: “FIELD: A program for simulating ultrasound systems publication-title: 10th Nordic-Baltic Conf. on Biomedical Imaging – volume: 63 start-page: 1078 year: 2016 end-page: 1085 ident: b0040 article-title: Direct digital demultiplexing of analog TDM signals for cable reduction in ultrasound imaging catheters publication-title: IEEE Trans. Ultrason., Ferroelect., Freq Control – volume: 2 start-page: 1345 year: 1995 end-page: 1348 ident: b0115 article-title: Optimization of the beampattern of 2D sparse arrays by weighting publication-title: Proc. IEEE Ultrason. Symp. – volume: 64 start-page: 978 year: 2017 end-page: 988 ident: b0045 article-title: Curvilinear 3-D imaging using row-column-addressed 2-D arrays with a diverging lens: feasibility study publication-title: IEEE Trans. Ultrason. Ferroelectr. Freq. Control – volume: 60 start-page: 3093 year: Nov. 2013 end-page: 3102 ident: b0085 article-title: Design of optimal 2-D nongrid sparse arrays for medical ultrasound publication-title: IEEE Trans. Biomed. Eng. – volume: 63 start-page: 2138 year: 2016 end-page: 2149 ident: b0120 article-title: 2-D ultrasound sparse arrays multidepth radiation optimization using simulated annealing and spiral-array inspired energy functions publication-title: IEEE Trans. Ultrason, Ferroelect., Freq Control – reference: Q. Huang, Z. Zeng, A review on real-time 3D ultrasound imaging technology, BioMed Res. Int., vol. 2017, article ID 6027029, 20 pages, 2017. – reference: J.W. Choe, Ö. Oralkan, P.T. Khuri-Yakub, Design optimization for a 2-D sparse transducer array for 3-D ultrasound imaging, in Proc. IEEE Ultrason. Symp. (IUS), Oct. 2010, pp. 1928–1931. – reference: Chao Chen, Shreyas B. Raghunathan, Zili Yu, Maysam Shabanimotlagh, Zhao Chen, Zu-yao Chang, Sandra Blaak, Christian Prins, Jacco Ponte, Emile Noothout, Hendrik J. Vos, Johan G. Bosch, Martin D. Verweij, Nico de Jong, Michiel A. P. Pertijs, A prototype PZT matrix transducer with low-power integrated receive ASIC for 3-D transesophageal echocardiography, IEEE Trans. Ultrason, Ferroelect., Freq. Control 63(1) (2016) 47-59. – ident: 10.1016/j.ultras.2020.106318_b0050 doi: 10.1177/016173469401600301 – volume: 43 start-page: 777 year: 2005 ident: 10.1016/j.ultras.2020.106318_b0100 article-title: Optimization of sparse synthetic transmit aperture imaging with coded excitation and frequency division publication-title: Ultrasonics doi: 10.1016/j.ultras.2005.06.005 – ident: 10.1016/j.ultras.2020.106318_b0035 doi: 10.1038/s41598-017-09534-1 – volume: 1 start-page: 945 year: 2003 ident: 10.1016/j.ultras.2020.106318_b0020 article-title: Fully sampled matrix transducer for real time 3D ultrasonic imaging publication-title: Proc. IEEE Ultrason. Symp. – volume: 56 start-page: 177 year: 1997 ident: 10.1016/j.ultras.2020.106318_b0150 article-title: Beam pattern formulation and analysis for wide-band beamforming systems using sparse arrays publication-title: Signal Process. doi: 10.1016/S0165-1684(96)00166-1 – volume: 11 start-page: 261 issue: 4 year: 2010 ident: 10.1016/j.ultras.2020.106318_b0075 article-title: Optimized simulated annealing algorithm for thinning and weighting large planar arrays publication-title: J. Zhejiang Univ. Sci. C doi: 10.1631/jzus.C0910037 – year: 2004 ident: 10.1016/j.ultras.2020.106318_b0145 – ident: 10.1016/j.ultras.2020.106318_b0015 doi: 10.1155/2017/6027029 – volume: 40 start-page: 485 year: 2002 ident: 10.1016/j.ultras.2020.106318_b0070 article-title: Weighting and thinning wide-band arrays by simulated annealing publication-title: Ultrasonics doi: 10.1016/S0041-624X(02)00163-4 – ident: 10.1016/j.ultras.2020.106318_b0090 doi: 10.1109/EUSIPCO.2015.7362602 – volume: 34 start-page: 351 year: 1996 ident: 10.1016/j.ultras.2020.106318_b0155 article-title: “FIELD: A program for simulating ultrasound systems publication-title: 10th Nordic-Baltic Conf. on Biomedical Imaging – volume: 24 start-page: 1243 issue: 9 year: 1998 ident: 10.1016/j.ultras.2020.106318_b0005 article-title: Three-dimensional ultrasound imaging publication-title: Ultrasound Med. Biol. doi: 10.1016/S0301-5629(98)00043-X – volume: 224 start-page: 193 issue: 2 year: 2010 ident: 10.1016/j.ultras.2020.106318_b0010 article-title: Three-dimensional ultrasound imaging publication-title: Proc. Inst. Mech. Eng. H, J. Eng. Med. doi: 10.1243/09544119JEIM586 – volume: 2 start-page: 1345 year: 1995 ident: 10.1016/j.ultras.2020.106318_b0115 article-title: Optimization of the beampattern of 2D sparse arrays by weighting publication-title: Proc. IEEE Ultrason. Symp. – volume: 64 start-page: 978 year: 2017 ident: 10.1016/j.ultras.2020.106318_b0045 article-title: Curvilinear 3-D imaging using row-column-addressed 2-D arrays with a diverging lens: feasibility study publication-title: IEEE Trans. Ultrason. Ferroelectr. Freq. Control doi: 10.1109/TUFFC.2017.2687521 – volume: 58 start-page: 2596 issue: 12 year: 2011 ident: 10.1016/j.ultras.2020.106318_b0110 article-title: Optimizing circular ring arrays for forward-looking IVUS imaging publication-title: IEEE Trans. Ultrason, Ferroelect., Freq Control doi: 10.1109/TUFFC.2011.2123 – volume: 51 start-page: 738 issue: 3 year: 2016 ident: 10.1016/j.ultras.2020.106318_b0025 article-title: A column-row-parallel ASIC architecture for 3-D portable medical ultrasonic imaging publication-title: IEEE J. Solid-State Circuits doi: 10.1109/JSSC.2015.2505714 – volume: 60 start-page: 3093 issue: 11 year: 2013 ident: 10.1016/j.ultras.2020.106318_b0085 article-title: Design of optimal 2-D nongrid sparse arrays for medical ultrasound publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2013.2267742 – volume: 38 start-page: 161 year: 2000 ident: 10.1016/j.ultras.2020.106318_b0140 article-title: Aperture and element minimization in linear sparse arrays with desired beam patterns publication-title: Ultrasonics doi: 10.1016/S0041-624X(99)00089-X – volume: 46 start-page: 347 issue: 2 year: 1999 ident: 10.1016/j.ultras.2020.106318_b0065 article-title: Thinning and weighting of large planar arrays by simulated annealing publication-title: IEEE Trans. Ultrason., Ferroelect., Freq. Control, Mar. doi: 10.1109/58.753023 – volume: 63 start-page: 1078 issue: 8 year: 2016 ident: 10.1016/j.ultras.2020.106318_b0040 article-title: Direct digital demultiplexing of analog TDM signals for cable reduction in ultrasound imaging catheters publication-title: IEEE Trans. Ultrason., Ferroelect., Freq Control doi: 10.1109/TUFFC.2016.2557622 – volume: 48 start-page: 943 issue: 4 year: 2001 ident: 10.1016/j.ultras.2020.106318_b0130 article-title: Optimization of wide-band linear arrays publication-title: IEEE Trans. Ultrason., Ferroelect., Freq Control doi: 10.1109/58.935711 – ident: 10.1016/j.ultras.2020.106318_b0080 doi: 10.1109/ULTSYM.2010.5935854 – volume: 220 start-page: 671 year: 1983 ident: 10.1016/j.ultras.2020.106318_b0135 article-title: Optimization by simulated annealing publication-title: Science doi: 10.1126/science.220.4598.671 – volume: 37 start-page: 667 issue: 10 year: 2000 ident: 10.1016/j.ultras.2020.106318_b0060 article-title: Application of different spatial sampling patterns for sparse array transducer design publication-title: Ultrasonics doi: 10.1016/S0041-624X(00)00013-5 – ident: 10.1016/j.ultras.2020.106318_b0160 doi: 10.1109/58.139123 – ident: 10.1016/j.ultras.2020.106318_b0030 doi: 10.1109/TUFFC.2015.2496580 – volume: 65 start-page: 1346 issue: 8 year: 2018 ident: 10.1016/j.ultras.2020.106318_b0105 article-title: High-volume-rate 3-D ultrasound imaging based on synthetic aperture sequential beamforming with chirp-coded excitation publication-title: IEEE Trans. Ultrason. Ferroelect., Freq Control doi: 10.1109/TUFFC.2018.2839085 – volume: 64 start-page: 108 year: 2017 ident: 10.1016/j.ultras.2020.106318_b0095 article-title: Wideband 2-D array design optimization with fabrication constrains for 3-D US imaging publication-title: IEEE Trans. Ultrason. Ferroelect. Freq Control doi: 10.1109/TUFFC.2016.2614776 – volume: 63 start-page: 2138 issue: 12 year: 2016 ident: 10.1016/j.ultras.2020.106318_b0120 article-title: 2-D ultrasound sparse arrays multidepth radiation optimization using simulated annealing and spiral-array inspired energy functions publication-title: IEEE Trans. Ultrason, Ferroelect., Freq Control doi: 10.1109/TUFFC.2016.2602242 – volume: 24 start-page: 291 issue: 3 year: 1999 ident: 10.1016/j.ultras.2020.106318_b0125 article-title: Stochastic optimization of linear sparse arrays publication-title: IEEE J. Oceanic Eng. doi: 10.1109/48.775291 – volume: 43 start-page: 15 issue: 1 year: 1996 ident: 10.1016/j.ultras.2020.106318_b0055 article-title: Optimising the radiation pattern of sparse periodic two-dimensional arrays publication-title: IEEE Trans. Ultrason., Ferroelectr., Freq. Control doi: 10.1109/58.484458 |
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