质心
高斯分布
分辨率(逻辑)
超分辨率
超声成像
衍射
计算机科学
人工智能
超声波
图像分辨率
极限(数学)
计算机视觉
图像(数学)
光学
物理
数学
声学
数学分析
量子力学
作者
Bingxue Wang,Jipeng Yan,Kai Riemer,Matthieu Toulemonde,Joseph Hansen-Shearer,Meng‐Xing Tang
标识
DOI:10.1109/ius54386.2022.9957144
摘要
Super-Resolution (SR) ultrasound (US) imaging can overcome the wave diffraction limit and reveal detailed microvas-culature. Localization methods including Gaussian fitting, cross-correlation, and centroid detection have been investigated in 2D SR US imaging. With the increasing demand for volumetric information, this study aims to compare the performance of centroid detection and 3D normalized cross-correlation (NCC) in 3D SR US.
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