成像体模
迭代重建
计算机视觉
人工智能
扫描仪
图像质量
计算机科学
运动补偿
视野
冗余(工程)
投影(关系代数)
运动场
断层摄影术
运动估计
核医学
物理
医学
图像(数学)
光学
算法
操作系统
作者
Michael Graß,Rolf Bippus,Axel Thran,Dirk Schaefer,Sven Kabus,Kevin M. Brown
出处
期刊:Medical Imaging 2018: Physics of Medical Imaging
日期:2018-03-09
摘要
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 nondiagnostic 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 inbetween 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).
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