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Measuring gantry-gantry and gantry-table alignment in PET/CT

机译:测量龙门龙门和龙门架对齐在PET / CT中

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Inherent image registration of the PET and CT images is one of the key advantages of an integrated PET/CT scanner. This registration is predicated on understanding the relationship between the PET and CT gantry coordinates; rotational or translational misalignments of the PET and CT subsystems must either be eliminated by moving the gantries relative to one another or compensated for in the system's image formation algorithms. In addition, the alignment of the table to the PET and CT subsystems plays a key role in image registration, since the effect of table-gantry misalignment in CT images are different than the effect in PET images. This paper describes an algorithm to simultaneously measure the six degrees of freedom in gantry-gantry alignment (three rotations, three translations) plus the two important angular degrees of freedom for table alignment, based on common features identified in CT and PET phantom images. The coordinate transformation equations are linearized and the error between PET and CT feature locations is minimized by least squares; the result is a system of eight linear equations in eight unknowns. If the angular discrepancies are sufficiently large that the linear approximation loses its validity, the algorithm can be iterated to increase its accuracy.
机译:PET和CT图像的固有图像登记是集成PET / CT扫描仪的关键优势之一。这项注册是在理解PET和CT龙门坐标之间的关系的基础上;必须通过相对于彼此移动或者在系统的图像形成算法中进行补偿,消除PET和CT子系统的旋转或翻译错位。另外,表对PET和CT子系统的对准在图像配准中起着关键作用,因为CT图像中的表格架错位的影响与PET图像中的效果不同。本文介绍了一种算法,用于同时测量龙门架对准(三个旋转,三个转换)的六个自由度,基于CT和PET Phantom图像中识别的共同特征,加上表对准的两个重要角度自由度。坐标变换方程是线性化的,并且通过最小二乘来最小化PET和CT特征位置之间的误差;结果是八个未知数八个线性方程的系统。如果角度差异足够大,线性近似失去其有效性,则可以迭代该算法以提高其精度。

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