In this work, a compressed sensing method to reduce hardware complexity of ultrasound imaging systems is proposed and experimentally verified. We provide clinical evaluation of the method with a possible high compression rates (up to 64 RF signals compressed into a single channel on receive) which uses elastic net estimation for decoding stage. This allows a reduction in size and power consumption of the front-end electronics with only a minor loss in image quality. We demonstrate an 8-fold receive channel count reduction with a 3.16 dB and 3.64 dB mean absolute error for gallbladder and kidney images, respectively, as well as 7.4% increase in the contrast-to-noise ratio for kidney images and 0.1% loss in the contrast-to noise ratio for gallbladder images, on average. The proposed method may enable a fully portable ultrasonic device with virtually no loss in image quality as compared to a full size clinical scanner to be constructed.

中文翻译：

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用于减少医疗超声​​硬件占用空间的压缩传感

在这项工作中，提出并通过实验验证了一种降低超声成像系统硬件复杂性的压缩感知方法。我们以可能的高压缩率（最多 64 个 RF 信号在接收时压缩到单个通道中）提供了该方法的临床评估，该方法使用弹性网络估计进行解码阶段。这允许减少前端电子设备的尺寸和功耗，而图像质量的损失很小。我们展示了 8 倍的接收通道计数减少，胆囊和肾脏图像的平均绝对误差分别为 3.16 dB 和 3.64 dB，肾脏图像的对比度与噪声比增加了 7.4%，而在胆囊图像的平均对比度与噪声比。