Performance benchmarking of microbubble-localization algorithms for ultrasound localization microscopy
Performance benchmarking of microbubble-localization algorithms for ultrasound localization microscopy
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DOI：
10.1038/s41551-021-00824-8
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发表时间：
2022-02-17
影响因子：
28.1
通讯作者：
Couture, Olivier
中科院分区：
文献类型：
--
作者：
Heiles, Baptiste;Chavignon, Arthur;Couture, Olivier
超快超声定位显微镜可用于检测静脉注射微泡的亚波长声散射，以获得动物和人类血管系统的血流动力学图。血流动力学图的质量取决于信噪比和用于微泡定位及其轨迹绘制的算法。在这里，我们报告的结果基准的性能的七个微泡定位算法。我们使用了定位误差、定位成功率、处理时间和原始波束形成网格上微泡定位的重投影的度量。我们将11个指标组合成一个整体评分，并在三个模拟微循环数据集，以及开颅手术后活鼠大脑的血管造影数据集，切除的大鼠肾脏和活鼠乳腺肿瘤中测试了算法。我们在https://github.com/AChavignon/PALA和https：//doi.org/10.5281/zenodo.4343435上公开提供的算法，指标和数据集将有助于识别或生成特定应用的最佳微泡定位算法。
Ultrafast ultrasound localization microscopy can be used to detect the subwavelength acoustic scattering of intravenously injected microbubbles to obtain haemodynamic maps of the vasculature of animals and humans. The quality of the haemodynamic maps depends on signal-to-noise ratios and on the algorithms used for the localization of the microbubbles and the rendering of their trajectories. Here we report the results of benchmarking of the performance of seven microbubble-localization algorithms. We used metrics for localization errors, localization success rates, processing times and a measure of the reprojection of the localization of the microbubbles on the original beamformed grid. We combined eleven metrics into an overall score and tested the algorithms in three simulated microcirculation datasets, and in angiography datasets of the brain of a live rat after craniotomy, an excised rat kidney and a mammary tumour in a live mouse. The algorithms, metrics and datasets, which we have made openly available at https://github.com/AChavignon/PALA and https://doi.org/10.5281/zenodo.4343435, will facilitate the identification or generation of optimal microbubble-localization algorithms for specific applications.