超声成像中压缩感知的研究

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI:10.1109/AEMCSE50948.2020.00059

Tang Liang

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引用次数: 1

摘要

经典的奈奎斯特采样频率通常会导致采样信号数据量过大，不利于存储和传输。为了减少超声成像数据量，便于数据存储，采用了压缩感知理论。压缩感知理论不仅可以降低射频信号的采样频率，而且可以获得少量的数据。本文研究了压缩感知的基本理论和关键技术，最后总结了压缩感知在其他领域的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Compressed Sensing in Ultrasound Imaging

The classic Nyquist sampling frequency usually causes the amount of sampled signal data to be too large, which is not conducive to storage and transmission. In order to reduce the amount of ultrasound imaging data and facilitate data storage, compressed sensing theory is used. Compressed sensing theory not only reduces the sampling frequency of RF signals, but also obtains a small amount of data. This article studies the basic theory of compressed sensing and its key technologies, and finally summarizes its application in other fields.

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来源期刊

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)

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