超声成像中的X射线
Xampling in Ultrasound Imaging
摘要：
新医疗技术的最新发展对超声成像系统在图像质量和原始数据大小方面提出了具有挑战性的要求。传统的采样方法导致非常大量的数据，因此，增加了对处理硬件的要求，并限制了后处理阶段的灵活性。在本文中，我们采用压缩感知（CS）技术模拟超声信号，最近开发的Xcandidate框架。结果是系统的采样率显著降低，这又意味着数据大小显著降低，同时保持所得图像的质量。
英文摘要：
Recent developments of new medical treatment techniques put challenging demands on ultrasound imaging systems in terms of both image quality and raw data size. Traditional sampling methods result in very large amounts of data, thus, increasing demands on processing hardware and limiting the exibility in the post-processing stages. In this paper, we apply Compressed Sensing (CS) techniques to analog ultrasound signals, following the recently developed Xampling framework. The result is a system with significantly reduced sampling rates which, in turn, means significantly reduced data size while maintaining the quality of the resulting images.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
