运动(物理)
计算机科学
图像分辨率
超声成像
超声波
超声成像
计算机视觉
人工智能
物理
声学
作者
Sevan Harput,Kirsten Christensen-Jeffries,Jemma Brown,Jiaqi Zhu,Ge Zhang,Robert J. Eckcrslcy,Chris Dunsby,Meng‐Xing Tang
标识
DOI:10.1109/ultsym.2018.8580145
摘要
Motion during image acquisition can cause image degradation in all medical imaging modalities. This is particularly relevant in 2-D ultrasound imaging, since out-of-plane motion can only be compensated for movements smaller than elevational beamwidth of the transducer. Localization based super-resolution imaging creates even a more challenging motion correction task due to the requirement of a high number of acquisitions to form a single super-resolved frame. In this study, an extension of two-stage motion correction method is proposed for 3-D motion correction. Motion estimation was performed on high volumetric rate ultrasound acquisitions with a handheld probe. The capability of the proposed method was demonstrated with a 3-D microvascular flow simulation to compensate for handheld probe motion. Results showed that two-stage motion correction method reduced the average localization error from 136 to 18 μm.
科研通智能强力驱动
Strongly Powered by AbleSci AI