基于相机模型的锥束CT重建误差校正
Misaligned cone beam computed tomography reconstruction based on a camera model

该文对存在几何误差的锥束计算机层析成像(CT)的图像重建校正方法进行了研究。该文将锥束CT系统看做针孔相机,因此相机的成像模型可以用来修正三维体素与二维投影之间的映射关系。将该映射关系带入到重建算法中,就可以对存在误差的锥束CT进行有效的重建,提高重建图像的质量。计算机视觉中的相机标定技术被用来构建成像模型。该技术的可靠性保证了本文方法的精度和鲁棒性。仿真和实际系统实验表明: 本方法可以在图像重建过程中对锥束CT中的几何误差进行有效的校正。
Abstract： A correction was developed for a misaligned cone beam computed tomography (CT) system. The cone beam CT system was modeled as a pin-hole camera. A camera imaging model was used to describe the mapping information between the 3D voxels and the 2D projection. This information was integrated into the cone beam CT reconstruction to correct the misaligned cone beam CT image. A computing camera calibration technique was used to build the imaging model. This technique is reliable and accurate. Simulations and real system tests show that this method effectively corrects geometric misalignments during cone beam CT reconstruction.