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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 receive compensation algorithm (PARCA) can improve clinical images of the abdomen degraded by aberrations. Corrected images show both improved contrast resolution and overall image quality. However, PARCA is very computationally intensive and, consequently, cannot be easily implemented in real-time. In this study, modifications to PARCA for possible real-time implementation are explored. A modified algorithm, PARCA2 (parallel adaptive receive compensation algorithm 2), is introduced to perform aberration correction much more efficiently. Results from tissue-mimicking phantoms and human images show that corrections 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)可以改善因畸变而退化的腹部的临床图像。校正后的图像显示出改善的对比度分辨率和整体图像质量。但是,PARCA的计算量很大,因此无法轻松地实时实现。在这项研究中,探讨了对PARCA的修改以实现可能的实时实施。引入了一种经过修改的算法PARCA2(并行自适应接收补偿算法2),可以更有效地执行像差校正。组织模仿体模和人体图像的结果表明,PARCA2的校正与PARCA的校正相抗衡。

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