A New Voxellation Scheme for Iterative CBCT Reconstruction with Less Computational Cost: Polar Voxel Design of an Isosceles-triangle Shape

다국어 초록 (Multilingual Abstract)

We propose a new voxellation scheme for iterative cone-beam computed tomography (CBCT)reconstruction with less computational cost. Here, the voxel configuration is designed with anisosceles-triangle shape by using polar coordinates, exploiting the rotational symmetries inherent tothe CBCT acquisition geometry and keeping the uniformity of the voxel size as well. By using polarsymmetries, we can reduce the size of the system matrix by a factor corresponding to the numberof acquired projections, which speeds up the construction of the system matrix and, thus, allowsiterative methods to be applied to practical applications within a reasonable reconstruction time.
In this study, we implemented an efficient algorithm to reconstruct the system matrix based uponthe proposed voxellation scheme and incorporated it into a built-in iterative CBCT reconstructionalgorithm based the gradient-projection Barzilai-Borwein (GPBB) method, and we performed systematicsimulation works to investigate the imaging characteristics. Our results indicate that thevoxellation scheme we proposed in study seems to be effective in reducing the computational timeand the memory burden considerably.

참고문헌 (Reference)

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