Enhancement of patient-motion-disturbed (dental) Cone Beam Computed Tomography (CBCT) data.

cbct数据是根据几秒钟内获得的二维（2D） x射线片和患者头部周围x射线源和探测器的圆形轨迹重建的。在这几秒钟内，患者经常会移动，这在常规的三维重建中是不被考虑的。在牙科应用中，下颌骨相对于颅骨的运动可能会引入额外的挑战。患者的运动导致3d数据中的运动模糊和伪影。我们的项目旨在开发一种基于二维投影图像的迭代算法，能够校正这种运动。该算法还必须处理局部断层扫描问题，这与小体积牙科cbct非常相关。此外，它应该能够处理两个组成部分的运动头骨和下颌骨彼此相对。

CBCT-data are reconstructed from two-dimensional (2D) radiographs that are acquired over several seconds and a circular trajectory of x-ray source and detector around the patients' head. During the several seconds patients often move, which in the regular three-dimensional (3D) reconstruction is not taken care of. In dental applications, motion of the mandible relative to the skull may introduced additional challenges. Patient motion causes motion blur and artifacts in the 3D-data. Our project aims at developing an iterative algorithm basing on the 2D projection images capable to correct for such motion. The algorithm also has to deal with the local tomography problem, which is very relevant to small-volume dental CBCTs. In addition, it shall be capable to handle motion of the two components skull and mandible relative to one another.