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

CBCT数据是从二维（2D）射线照片中重建的，这些照片是在几秒钟内采集的，X射线源和探测器围绕患者头部的圆形轨迹。在几秒钟内，患者经常移动，这在常规的三维（3D）重建中没有得到照顾。在牙科应用中，下颌骨相对于颅骨的运动可能引入额外的挑战。患者运动导致3D数据中的运动模糊和伪影。我们的项目旨在开发一种迭代算法的基础上的二维投影图像能够纠正这种运动。该算法还必须处理局部层析成像问题，这与小体积牙科CBCT非常相关。此外，其应能够处理颅骨和下颌骨两个组件相对于彼此的运动。

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.