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Efficient parallel adaptive aberration correction

机译:高效的并行自适应像差校正

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摘要

Previous studies have shown that the parallel adaptive receivencompensation algorithm (PARCA) can improve clinical images of thenabdomen degraded by aberrations. Corrected images show both improvedncontrast resolution and overall image quality. However, PARCA is veryncomputationally intensive and, consequently, cannot be easilynimplemented in real-time. In this study, modifications to PARCA fornpossible real-time implementation are explored. A modified algorithm,nPARCA2 (parallel adaptive receive compensation algorithm 2), isnintroduced to perform aberration correction much more efficiently.nResults from tissue-mimicking phantoms and human images show thatncorrections with PARCA2 rival that of PARCA
机译:先前的研究表明,并行自适应接收补偿算法(PARCA)可以改善畸变导致的腹部的临床图像。校正后的图像可以显示出更高的对比度分辨率和整体图像质量。但是,PARCA的计算量很大,因此不能轻松地实时实现。在这项研究中,探讨了对PARCA不可能的实时实现的修改。引入了一种经过改进的算法nPARCA2(并行自适应接收补偿算法2)来更有效地执行像差校正。n组织模拟体模和人体图像的结果表明,使用PARCA2进行的校正与PARCA的校正可匹敌

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