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Plane wave image quality improvement using ADMIRE algorithm

机译:使用ADMIRE算法改善平面波图像质量

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We previously introduced a model-based clutter suppression algorithm that operates on channel data and can recover degraded ultrasound images. We call the algorithm aperture domain model image reconstruction (ADMIRE). In previous work, ADMIRE demonstrated substantial improvements of image quality in vivo due to its suppression of reverberation artifacts while preserving the signals of interest. ADMIRE also suppresses off-axis clutter. Because of these characteristics, we are interested in applying ADMIRE to plane wave images. The objective of this study is to evaluate the performance of ADMIRE in conjunction with plane wave synthetic aperture sequences acquired from data with minimal reverberation. To evaluate the ADMIRE algorithm, we used the Plane-wave Imaging Challenge in Medical UltraSound (PICMUS) data and selected 1, 2, 11 and 75 plane waves for image formation. We applied plane wave synthetic aperture delays and then implemented ADMIRE followed by a minimum variance (MV) beamforming. We then evaluated the resulting plane wave images using the image quality metrics specified by the PICMUS. The contrast measurements having a simulated cyst phantom were 12.61 dB, 14.32 dB, 18.57 dB and 19.16 dB for 1, 2, 11 and 75 plane waves, respectively.
机译:我们之前引入了一种基于模型的杂波抑制算法,其在信道数据上运行,并且可以恢复降级的超声图像。我们称之为算法孔径域模型图像重建(欣赏)。在以前的工作中,由于其抑制了对感兴趣的信号的同时,佩服抑制了体内图像质量的显着提高。佩服也抑制了轴上的杂乱。由于这些特征,我们有兴趣申请佩服飞机波图像。本研究的目的是评估令人欣赏的令人欣赏与从数据中获取的平面波合成孔径序列的性能,最小混响。为了评估欣赏算法,我们在医学超声(PICMUS)数据中使用平面波成像挑战,以及用于图像形成的1,2,11和75个平面波。我们施加了平面波合成孔径延迟,然后实现了欣赏,然后是最小方差(MV)波束成形。然后,我们使用PICMU指定的图像质量指标评估所得到的平面波图像。分别具有模拟囊体的对比度测量分别为12.61dB,14.32dB,18.57dB和19.16dB,分别为1,2,11和75平面波。

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