论文标题
定量超声成像中的人工智能：评论
Artificial Intelligence in Quantitative Ultrasound Imaging: A Review
论文作者
论文摘要
定量超声（QUS）成像是一种可靠，快速且廉价的技术，用于提取用于评估病理的物理描述参数。尽管具有安全性和有效性，但QUS仍存在几个主要缺点：成像质量差，观察者间和观察者内变异性会阻碍测量的可重复性。因此，非常需要开发自动方法来提高成像质量并有助于测量QU的测量。近年来，对超声成像中的人工智能（AI）应用的兴趣越来越大。但是，尚未发现对QU中AI使用的调查。本文的目的是审查对QUS中AI应用程序的最新研究。该评论首先介绍了AI工作流程，然后讨论了QUS中的各种AI应用程序。最后，讨论了QU中的挑战和未来的潜在AI应用。
Quantitative ultrasound (QUS) imaging is a reliable, fast and inexpensive technique to extract physically descriptive parameters for assessing pathologies. Despite its safety and efficacy, QUS suffers from several major drawbacks: poor imaging quality, inter- and intra-observer variability which hampers the reproducibility of measurements. Therefore, it is in great need to develop automatic method to improve the imaging quality and aid in measurements in QUS. In recent years, there has been an increasing interest in artificial intelligence (AI) applications in ultrasound imaging. However, no research has been found that surveyed the AI use in QUS. The purpose of this paper is to review recent research into the AI applications in QUS. This review first introduces the AI workflow, and then discusses the various AI applications in QUS. Finally, challenges and future potential AI applications in QUS are discussed.
