Design Optimization for a 2-D Sparse Transducer Array for 3-D Ultrasound Imaging.
Design Optimization for a 2-D Sparse Transducer Array for 3-D Ultrasound Imaging.
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用于 3D 超声成像的 2D 稀疏换能器阵列的设计优化。
DOI：
10.1109/ultsym.2010.5935854
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Khuri-Yakub,PierreT
中科院分区：
文献类型：
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作者：
Choe,JungWoo;Oralkan,Omer;Khuri-Yakub,PierreT
在使用具有超过数百个元件的2-D换能器阵列的3-D超声成像中，稀疏阵列可以用于减少活动超声通道的数量。在所需的有源通道数的限制下，我们可以通过优化选择有源元件的位置来最大化图像质量。在这里，我们使用模拟退火的方法来找到一个二维稀疏阵列的最佳配置。该算法试图最小化目标函数的值，该目标函数被定义为点扩散函数（PSF）中的非焦点区域与焦点区域之间的能量比。从16 × 16单元矩形换能器阵列中选择16、20、24、28和32个发射和接收单元的情况下，找到了最佳配置。只有32个发射和32个接收元件，我们可以实现16%的能量比，而全阵列的能量比为6%，这是利用所有256个元件进行发射和接收的黄金标准。利用Field II软件对最优稀疏阵列对离轴目标和轴上目标的成像进行了仿真，并将仿真结果与全发射全接收、全发射x接收、x发射边界接收等阵列的成像结果进行了比较。
In 3-D ultrasound imaging where 2-D transducer arrays with more than hundreds of elements are used, sparse arrays can be used to reduce the number of active ultrasound channels. Under a restriction of desired number of active channels, we can maximize the image quality by optimally choosing the positions of active elements. Here we use the method of simulated annealing to find the optimal configuration of a 2-D sparse array. This algorithm tries to minimize the value of an objective function defined as the energy ratio between the non-focal and focal regions in the point spread function (PSF). Optimal configurations were found for the cases of choosing 16, 20, 24, 28, and 32 transmit and receive elements from a 16 × 16-element rectangular transducer array. With only 32 transmit and 32 receive elements, we could achieve an energy ratio of 16%, compared to 6% of the full array, which is the gold standard utilizing all the 256 elements for both transmit and receive. Using Field II, we simulated imaging with the optimal sparse arrays, for off-axis targets as well as on-axis targets, and the resulting images were compared with those from some other configurations, such as full-transmit full-receive, full-transmit x-receive, x-transmit boundary-receive, and so on.