Zhang Hua, Sonke Jan-Jakob
Department of Radiation Oncology, The Netherlands Cancer Institute--Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
Med Image Comput Comput Assist Interv. 2012;15(Pt 1):181-8. doi: 10.1007/978-3-642-33415-3_23.
Image quality of four dimensional cone-beam computed tomography (4D CBCT) is limited by streaking artifacts due to insufficient projections after respiratory sorting. In this paper, a framework is proposed to combine improved motion and stationary regions of CBCT together to enhance the final reconstructed image. Firstly, streaking artifacts are decreased in the 4D CBCT by directional interpolation for additional cone-beam projections. Secondly, motion is estimated through deformable image registration of the 4D CBCT and motion proportional weights are assigned to each voxel. Finally, the weighted combination of the 3D and an interpolated 4D image is calculated. The proposed method is validated by both phantom and clinical data. Experiments demonstrate this method decreases streaking artifacts as well as image blur, and then improves image quality.
四维锥形束计算机断层扫描(4D CBCT)的图像质量受到呼吸排序后投影不足导致的条纹伪影的限制。本文提出了一个框架,将CBCT的改进运动区域和静止区域结合起来,以增强最终的重建图像。首先,通过对额外锥形束投影进行方向插值来减少4D CBCT中的条纹伪影。其次,通过4D CBCT的可变形图像配准估计运动,并为每个体素分配运动比例权重。最后,计算3D图像和插值4D图像的加权组合。所提出的方法通过体模和临床数据进行了验证。实验表明,该方法减少了条纹伪影以及图像模糊,进而提高了图像质量。