Hu Jicun, Haworth Steve T, Molthen Robert C, Dawson Christopher A
Department of Biomedical Engineering, Marquette University, Milwaukee, WI 53233, USA.
Acad Radiol. 2004 Sep;11(9):961-70. doi: 10.1016/j.acra.2004.05.019.
Micro computed tomography is an important tool for small animal imaging. On many occasions, it is desirable to image lungs in a live instead of postmortem small animal to perform a pulmonary physiology study. Because the lungs are moving, gating with respect to the ventilatory phase has to be performed to reduce motion artifacts. Precapture ventilation gating may be difficult to achieve in some situations, which motivates us to propose and implement a simple postacquisition gating method.
Rats were used as the subjects in this study. A sequence of low-dose projection images were acquired at 30 frames per second for each view angle. During each capture sequence the rat undergoes multiple ventilation cycles. Using the sequence of projection images, an automated region of interest algorithm, based on integrated grayscale intensity, tracts the ventilatory phase of the lungs. In the processing of an image sequence, multiple projection images are identified at a particular phase and averaged to improve the signal-to-noise ratio. The resulting averaged projection images from different view angles are input to a Feldkamp cone-beam algorithm reconstruction algorithm to obtain isotropic image volumes.
Reconstructions with reduced movement artifacts are obtained. In the gated reconstruction, registration of the bone is much better, the edge of the lung is clearly defined, and structures within the lung parenchyma are better resolved. Also, different phases of a breathing cycle can be reconstructed from one single tomographic scan by the proposed gating method.
A postacquisition gating method using the phase information encoded in the 2-dimensional cone beam projections is proposed. This method is simple to implement and does not require additional experimental set-up to monitor the respiration. It may find applications in lung tumor detection, dynamic pulmonary physiology studies, and the respiratory systems modeling. Minimal motion artifact data sets improve qualitative and quantitative analysis techniques that are useful in physiologic studies of pulmonary structure and function.
微型计算机断层扫描是小动物成像的重要工具。在许多情况下,希望对活体而非死后的小动物肺部进行成像,以开展肺部生理学研究。由于肺部在运动,必须进行与通气阶段相关的门控操作,以减少运动伪影。在某些情况下,预采集通气门控可能难以实现,这促使我们提出并实施一种简单的采集后门控方法。
本研究以大鼠为研究对象。每个视角以每秒30帧的速度采集一系列低剂量投影图像。在每个采集序列中,大鼠经历多个通气周期。利用基于积分灰度强度的自动感兴趣区域算法,追踪肺部的通气阶段。在图像序列处理过程中,在特定阶段识别多个投影图像并进行平均,以提高信噪比。将来自不同视角的所得平均投影图像输入到费尔德坎普锥束算法重建算法中,以获得各向同性的图像体积。
获得了运动伪影减少的重建图像。在门控重建中,骨骼的配准更好,肺边缘清晰界定,肺实质内的结构分辨得更好。此外,通过所提出的门控方法,可以从一次断层扫描中重建呼吸周期的不同阶段。
提出了一种利用二维锥束投影中编码的相位信息的采集后门控方法。该方法易于实施,不需要额外的实验装置来监测呼吸。它可能在肺肿瘤检测、动态肺部生理学研究和呼吸系统建模中得到应用。最小运动伪影数据集改善了定性和定量分析技术,这些技术在肺部结构和功能的生理学研究中很有用。