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Motion compensation for non-gated helical CT: Application to lung imaging

机译:非门控螺旋CT运动补偿:在肺部成像中的应用

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Computed tomography (CT) imaging of the thorax is a common application of CT in radiology. Most of these scans are performed with a helical scan protocol. A significant number of images suffer from motion artefacts due to the inability of the patients to hold their breath or due to hiccups or coughing. Some images become non-diagnostic while others are simply degraded in quality. In order to correct for these artefacts a motion compensated reconstruction for non-periodic motion is required. For helical CT scans with a pitch smaller or equal to one the redundancy in the helical projection data can be used to generate images at the identical spatial position for multiple time points. As the scanner moves across the thorax during the scan, these images do not have a fixed time point, but a well-defined temporal distance in-between the images. Using image based registration a motion vector field can be estimated based on these images. The motion artefacts are corrected in a subsequent motion compensated reconstruction. The method is tested on mathematical phantom data (reconstruction) and clinical lung scans (motion estimation and reconstruction).
机译:胸部计算机断层扫描(CT)成像是CT在放射学中的普遍应用。这些扫描大多数是通过螺旋扫描协议执行的。由于患者无法屏住呼吸或由于打ic或咳嗽,大量图像会出现运动伪影。有些图像无法诊断,而另一些图像则只是质量下降。为了校正这些伪像,需要针对非周期性运动的运动补偿重建。对于螺距小于或等于1的螺旋CT扫描,螺旋投影数据中的冗余可用于在多个时间点的相同空间位置生成图像。当扫描仪在扫描过程中穿过胸腔移动时,这些图像没有固定的时间点,而是图像之间的明确定义的时间距离。使用基于图像的配准,可以基于这些图像来估计运动矢量场。在随后的运动补偿重建中对运动伪像进行校正。该方法已在数学体模数据(重建)和临床肺部扫描(运动估计和重建)上进行了测试。

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