减弱补偿和估计的估计
Timothy A Bigelow1, Yassin Labyed2,3
1Iowa State University, Ames, IA, USA. bigelow@iastate.edu.
Advances in experimental medicine and biology
|July 26, 2023
概括
精确的超声波衰减估计是量化组织特性和纠正光谱扭曲的关键. 本综述涵盖了局部和总衰减的算法,并讨论了它们在组织特征化方面的优缺点.
科学领域:
- 医疗成像医学成像
- 声学 声学 在声学上
- 生物物理学的生物物理.
背景情况:
- 超声波信号损失与深度对于定量组织分析至关重要.
- 超声衰减纠正光谱扭曲,以准确估计参数.
- 衰减独立地表征组织特性.
研究的目的:
- 审查估计超声波信号衰减的算法.
- 涵盖本地和总衰减估计方法.
- 讨论每个算法的优缺点.
主要方法:
- 对超声波衰减估计的既定和新型算法的审查.
- 对感兴趣区域内的局部减弱方法的分析.
- 评估区域和超声源之间的总衰减技术.
主要成果:
- 确定了用于超声波衰减测量的主要算法.
- 审查的衰减估计方法的详细优点和弱点.
- 提供了不同算法方法的比较概述.
结论:
- 准确的超声衰减估计对于定量超声成像是基本的.
- 算法选择取决于具体的应用和所需的测量 (局部与总量).
- 了解算法限制对于使用超声波进行可靠的组织表征至关重要.
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