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231225s2022 xx |||||o 00| ||eng c |
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|a 10.1109/TUFFC.2021.3127222
|2 doi
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|a pubmed25n1109.xml
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|a (DE-627)NLM33295840X
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|a (NLM)34757903
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
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|a Zhang, Quan
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Multiple-Focus Patterns of Sparse Random Array Using Particle Swarm Optimization for Ultrasound Surgery
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 28.03.2022
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|a Date Revised 01.04.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a This study aims to investigate the feasibility and potential of sparse random arrays driven by the particle swarm optimization (PSO) algorithm to generate multiple-focus patterns and a large scanning range without grating lobes, which extends the scanning range of focused ultrasound in the treatment of brain tumors, opening the blood-brain barrier, and neuromodulation. Operating at 1.1 MHz, a random spherical array with 200 square elements (sparseness 58%) and a sparse random array with 660 square elements (sparseness 41%) driven by PSO are employed to simulate different focus patterns. With the same radius of curvature and diameter of transducer and element size, the scanning range of the off-axis single focus of a random 200-element array is two times that of an ordinary array using symmetric arrangement. The focal volume of multiple-focus patterns of the random array is 18 times that of the single focus. The single focus of the sparse random array with 660 elements could steer up to ±23 mm in the radial direction, without grating lobes. The maximum distance between two foci in a multiple-focus "S"-shaped deflection is approximately 25 mm. Simulation results illustrate the capability of a focused beam steered in 3-D space. Multiple-focus patterns could significantly increase the focal volume and shorten the treatment time for large target volumes. Simulation results show the feasibility and potential of the method combining PSO with a sparse random array to generate flexible focus patterns that can adapt to different needs in different tissue treatments
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Mao, Jianyun
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Yi
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lu, Mingzhu
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Li, Ruixin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Xuan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Yehui
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yang, Rongzheng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Xuan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Geng, Yizhe
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Qi, Tingting
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wan, Mingxi
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on ultrasonics, ferroelectrics, and frequency control
|d 1986
|g 69(2022), 2 vom: 02. Feb., Seite 565-579
|w (DE-627)NLM098181017
|x 1525-8955
|7 nnas
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| 773 |
1 |
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|g volume:69
|g year:2022
|g number:2
|g day:02
|g month:02
|g pages:565-579
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|u http://dx.doi.org/10.1109/TUFFC.2021.3127222
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