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使用模拟惯性测量对负重膝关节 CBCT 进行刚性和非刚性运动补偿。

Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements.

出版信息

IEEE Trans Biomed Eng. 2022 May;69(5):1608-1619. doi: 10.1109/TBME.2021.3123673. Epub 2022 Apr 21.

Abstract

OBJECTIVE

Involuntary subject motion is the main source of artifacts in weight-bearing cone-beam CT of the knee. To achieve image quality for clinical diagnosis, the motion needs to be compensated. We propose to use inertial measurement units (IMUs) attached to the leg for motion estimation.

METHODS

We perform a simulation study using real motion recorded with an optical tracking system. Three IMU-based correction approaches are evaluated, namely rigid motion correction, non-rigid 2D projection deformation and non-rigid 3D dynamic reconstruction. We present an initialization process based on the system geometry. With an IMU noise simulation, we investigate the applicability of the proposed methods in real applications.

RESULTS

All proposed IMU-based approaches correct motion at least as good as a state-of-the-art marker-based approach. The structural similarity index and the root mean squared error between motion-free and motion corrected volumes are improved by 24-35% and 78-85%, respectively, compared with the uncorrected case. The noise analysis shows that the noise levels of commercially available IMUs need to be improved by a factor of 10 which is currently only achieved by specialized hardware not robust enough for the application.

CONCLUSION

Our simulation study confirms the feasibility of this novel approach and defines improvements necessary for a real application.

SIGNIFICANCE

The presented work lays the foundation for IMU-based motion compensation in cone-beam CT of the knee and creates valuable insights for future developments.

摘要

目的

负重锥形束 CT 膝关节中,受试者不自主运动是伪影的主要来源。为了实现临床诊断的图像质量,需要对运动进行补偿。我们建议使用附在腿部的惯性测量单元(IMU)进行运动估计。

方法

我们使用光学跟踪系统记录的真实运动进行了模拟研究。评估了三种基于 IMU 的校正方法,即刚体运动校正、非刚体 2D 投影变形和非刚体 3D 动态重建。我们提出了一种基于系统几何形状的初始化过程。通过 IMU 噪声模拟,研究了所提出方法在实际应用中的适用性。

结果

与基于标记的最先进方法相比,所有提出的基于 IMU 的方法至少能很好地校正运动。与未校正的情况相比,运动自由和运动校正体积之间的结构相似性指数和均方根误差分别提高了 24%-35%和 78%-85%。噪声分析表明,商业 IMU 的噪声水平需要提高 10 倍,这目前仅通过专门的硬件实现,这些硬件对于应用来说不够稳健。

结论

我们的模拟研究证实了这种新方法的可行性,并为实际应用定义了必要的改进。

意义

本研究为基于 IMU 的膝关节锥形束 CT 运动补偿奠定了基础,并为未来的发展提供了有价值的见解。

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